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VISION-LIST Digest Volume 14 Issue 08
VISION-LIST Digest Fri Feb 24 16:50:55 PDT 95 Volume 14 : Issue 8
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Today's Topics:
Two requests for references
Hough Transforms
ICCV decisions
A terminology question (fwd)
Quad trees based graphical objects aggregates.
3-D Transformation Code
Jobs Available at Carnegie Mellon
Technical report available
GR'95: Dashed-Line Detection Contest
article for comp.ai.vision
FINAL CALL infoRAD UK June 1995
Conference: Computer Vision and Photogrammetry
IWAFGR95
----------------------------------------------------------------------
From: rdz@CS.Cornell.EDU (Ramin Zabih)
Date: Tue, 21 Feb 1995 18:22:33 -0500
Subject: Two requests for references
I'm interested in finding out about work in two areas. First, I'm interested
in research on automatic image stabilization, where video from a jittery
source (such as a hand-held camera) is processed to remove high-frequency
motion. I know that a few commercial camcorders do this, but I'd be
interested in any published algorithms that have been used to solve this
problem. Second, I'm looking for research on automatically detecting
dissolves in digital image sequences.
Ramin
------------------------------
Date: Fri, 24 Feb 95 6:56:44 PST
From: Apurva Desai <apurva@cs.sfu.ca>
Subject: Hough Transforms
Hi there,
I was wondering if you can help me. I need to detect circles in a
scene. The scene image is likely ot be quite noisy. I need to locate
them as well. I think Hough transforms might do the trick. I was
wondering if you know of any FTP site/reference/algorithms that I can
use/implement to do this. I would appreciate it if you know fo any
other method which i can use to detect these circles. The circular
patterns as a whole is known but the orientation and the size of each
circle may not be known before hand.
please email me at :
apurva@cs.sfu.ca
thanks a lot
apurva
------------------------------
Date: Fri, 17 Feb 95 16:44:44 EST
From: welg@ai.mit.edu (W. Eric L. Grimson)
Subject: ICCV decisions
Final decisions have been reached concerning the papers submitted to ICCV 95,
to be held in Cambridge, June 20-23, 1995.
The list of accepted papers (listed by number) can be obtained by
accessing ftp://ftp.ai.mit.edu/pub/users/welg/iccv_decisions
For authors still waiting to receive hard copy notice, please note
that we received 600 papers, and the process of sorting, stuffing and mailing
1800 reviews takes some time. The reviews and decision letters are
being mailed as quickly as we can get them done, and should
reach the authors soon. Thanks for your patience.
Eric Grimson
------------------------------
Date: Wed, 22 Feb 95 11:52:17 +0200
From: Shelly Glaser <FEGLASER@WEIZMANN.weizmann.ac.il>
Subject: A terminology question (fwd)
Does anyone knows how mathematical operators that have the property
described below are called?
T(a){g} is an operator T with a parameter a (a is a number) that operates
on some function g [say g(x,y), for example]. Our operator may be
cascaded so
T(a) T(b) {g} actually means T(a){ T(b){g} }.
Now, it has the property that
T(a) T(b) = T(a+b)
Anyone who can give the name for this type of operators, or better yet, a
reference (book or paper), please let me know.
Thanks,
Shelly Glaser
feglaser@weizmann.weizmann.ac.il
------------------------------
Date: Tue, 21 Feb 95 15:40:32 +0100
From: slh@eli.ens-fcl.fr (Serge Heiden)
Subject: Quad trees based graphical objects aggregates.
Hello,
I am looking for a quad tree like interface for graphical objects aggregates.
Does anybody know of any existing implementation - in any
programming language - toolkit ?
Something like kd-Tree in 4 dimensions for:
- Subset: given a bounding box, find all objects whose bounding box
is contained in it.
- Superset: given a bounding box, find all objects whose bounding box
contains it.
- Intersection: given a bounding box, find all objects whose bounding
box intersects it.
As described in :
"J. Bentley.
Multidimensional binary search trees used for associative searching.
communications of the ACM, 18(9):509-511, Sept. 1975"
found in :
"R. Helm, K. Marriott & M. Odersky.
Building visual language parsers.
In proceedings of the conference on Human Factors in Computing Systems (CHI),
pp 105-112, 1991"
Thanks for any reply,
[Serge Heiden]
------------------------------
Date: Fri, 24 Feb 95 9:09 GMT
From: EEE3GODBESX@nottingham-trent.ac.uk
Subject: 3-D Transformation Code
Please could you post this request on your Vision List.
Three-Dimensional Conformal Co-ordinate Transformation
Information on program(s) allowing the transformation between two cartesian
co-ordinate systems is requested (as detailed in "Elements of Photogrammetry"
by P R Wolf).
Details on code, executable and source, to perform the following -
(i) calculation of seven independent transformation factors knowing control points
in both cartesian systems;
(ii) transformation from one co-ordinate system to the other supplying the
control points from one along with the tranformation factors previously
calculated.
Any information on sites/individuals that have code to perform the above would
be greatly appreciated.
Contact -
eee3godbesx@uk.ac.ntu
------------------------------
Date: Thu, 23 Feb 95 09:11:43 EST
From: Sanjiv Singh <ssingh@frc2.frc.ri.cmu.edu>
Subject: Jobs Available at Carnegie Mellon
Several positions are currently open for Research Programmers at the
Field Robotics Center of the Robotics Institute, Carnegie Mellon
University. All positions have a common set of minimum requirements
and preferred qualifications outlined below. In particular, we're
looking for candidates with a strong background in the following
areas:
- Real-time control systems / VMEBus / Embedded systems
- Network programming / TCP/IP /
- Computer vision
- Artificial intelligence
- Graphical simulation/animation
TITLE: Research Programmer
DEPARTMENT: Robotics
SALARY RANGE: Negotiable
STARTING RANGE: Negotiable
FLSA STATUS: Exempt
HOURS: Full-time
This position is responsible for developing software for advanced
field robot prototypes. Duties include working with scientists,
engineers and programmers to integrate, test and evaluate complete
robot systems; participating in group efforts of problem analysis,
preliminary and detailed design discussions and review integration;
developing software specification documents; engaging in code
development and debugging; document production; evaluating and testing
software developed by others.
Minimum qualifications:
B.S. in computer engineering or computer science or equivalent with
experience in software development in a project team setting or
completed software projects outside the classroom; strong UNIX, X11, and
C experience; strong math, analytical, oral and written communications
skills to write software documentation; ability to work under pressure
and meet inflexible deadlines required.
Preferred:
M.S. in computer engineering or computer science or equivalent with
one or more years in a non-academic position in a related field;
experience with modern software engineering methods including CASE
tools; experience with SunOS/Solaris/VxWorks real-time operating system.
Experience with IGRIP/TELEGRIP or WorldToolKit packages.
If interested please contact
Henning Pangels
Field Robotics Center
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA 15213
Fax: (412)268-5895
Email: hmp@cs.cmu.edu
------------------------------
Date: 20 Feb 1995 11:42:55 GMT
From: ahg@eng.cam.ac.uk (A. H. Gee)
Organization: Cambridge University Engineering Department, UK
Subject: Technical report available
The following technical report is available by anonymous ftp from the
archive of the Speech, Vision and Robotics Group at the Cambridge
University Engineering Department.
FAST VISUAL TRACKING BY
TEMPORAL CONSENSUS
Andrew Gee and Roberto Cipolla
Technical Report CUED/F-INFENG/TR 207
Cambridge University Engineering Department
Trumpington Street
Cambridge CB2 1PZ
England
Abstract
At the heart of every model-based visual tracker lies a pose
estimation routine. Recent work has emphasised the use of
least-squares techniques which employ all the available data to
estimate the pose. Such techniques are, however, susceptible to the
sort of rogue measurements produced by visual feature detectors, often
resulting in an unrecoverable tracking failure. This paper
investigates an alternative approach, where a minimal subset of the
data provides the pose estimate, and a robust regression scheme
selects the best subset. Bayesian inference in the regression stage
reconciles measurements taken in one frame with predictions from
previous frames, eliminating the need to further filter the pose
estimates. The resulting tracker performs very well on the difficult
task of tracking a human face, even when the face is partially
occluded. Since the tracker is tolerant of noisy, computationally
cheap feature detectors, frame-rate operation is comfortably achieved
on standard hardware.
Keywords: Visual tracking, pose estimation, robust regression,
Bayesian inference, model acquisition
[3 MBytes compressed PostScript, 19 pages]
************************ How to obtain a copy ************************
Via FTP:
unix> ftp svr-ftp.eng.cam.ac.uk
Name: anonymous
Password: (type your email address)
ftp> cd reports
ftp> binary
ftp> get gee_tr207.ps.Z
ftp> quit
unix> uncompress gee_tr207.ps.Z
unix> lpr gee_tr207.ps (or however you print PostScript)
------------------------------
Date: Fri, 24 Feb 95 13:04:21 EST
From: atul@nynexst.com (Atul Chhabra)
Subject: GR'95: Dashed-Line Detection Contest
In order to encourage participation in the International Workshop on Graphics
Recognition, a dashed-line detection contest is being organized. Details of
the contest and the evaluation process are given below.
International Workshop on Graphics Recognition
The Pennsylvania State University
University Park, PA 16802, USA
August 10-11, 1995
Dashed-Line Detection Contest
Details of the Contest
======================
The test images and source code are available on the anonymous ftp site
"ftp.cse.psu.edu" (130.203.2.11).
The path is : pub/vision/dashed_lines/(src, images)
The images directory contains samples of simple, medium and complex
dashed-line images in TIFF 5.0 format. The khoros routines "raw2viff"
and "viff2tiff" have been used to convert raw images into TIFF images.
The src directory contains all the source files for the creation of these
images. Any updates on the src files will be posted.
The README file in the ftp site directory contains information about the
dashed-line parameters (segment length, gap length etc.), image sizes,
complexities, etc.
Contestants will have to ftp their software onto Sun SPARC class of
machines which will be provided. They will have to run a live
demonstration of their program on the TIFF images which will be
generated randomly at the time of the contest. Those who do not have
access to the ftp site should contact the concerned persons at email
addresses given below for information on alternate ways of obtaining
the images or src code.
Prizes will be awarded to winning entries at the workshop.
Evaluation
==========
Programs will be judged on the basis of the following performance metrics :
Ability to
- detect all the dashed-lines.
- accurately determine the pixel locations of the dashed-lines
like start point, end point.
- track each dashed-line correctly.
- determine accurately the segment lengths, gap lengths and thickness.
- determine the different kinds of dashed-lines in an image (in case
of the medium and complex images).
- identify the objects formed by dashed-lines (dashed rectangular
boxes, dashed triangular shapes, dashed-hatching lines, etc.) (again
in case of the medium and complex images).
- segment the text strings and continuous lines from the dashed-lines
(in case of complex images).
- track the dashed curves accurately (again in case of complex images).
NOTE : The exact evaluation methods are not yet complete and will be
posted as soon as they are ready.
* For further correspondence contact Prof. Rangachar Kasturi at
kasturi@cse.psu.edu or Arathi Prasad at prasad@cse.psu.edu
------------------------------
Date: Wed, 22 Feb 1995 15:28:31 +0000 (GMT)
From: eb@mphd1.novell.leeds.ac.uk (Elizabeth Berry)
Organization: University of Leeds
Subject: FINAL CALL infoRAD UK June 1995
******FINAL CALL*****
Come and exhibit in infoRAD !
Exhibitors will come from universities, hospitals and commercial R&D.
******FINAL CALL*****
infoRAD will take place throughout the Roentgen Centenary Congress June 12-16 1995 in the National Indoor
Arena, Birmingham, UK. infoRAD is a trade name used by kind permission of the Radiological Society of
North America.
infoRAD is a large display of exhibits intended to demonstrate the benefits of information technology in
Diagnostic and Therapeutic Radiology and Medicine. Exhibitors will come from universities, hospitals and
commercial R&D.
Work from a whole variety of topics will be included, details on how to exhibit may be found at the URL
http://agora.leeds.ac.uk/comir/events/infoRAD.html
The deadline for submission abstracts is Friday 24 February 1995 and there is a special form for abstract
submission. However, it will be acceptable to email an abstract by the closing date, and submit the completed
form as soon as possible after this date.
Emailed abstracts must include your name, correspondence address, phone and fax numbers. The abstract must
not exceed 200 words and the title should not exceed 15 words. They should be sent to comir@dcre.leeds.ac.uk
For an abstract form, guidelines, or to discuss a possible submission please contact:
Cathy Parry
Centenary Congress Office
British Institute of Radiology
36 Portland Place
London
W1N 3DG
United Kingdom
Tel: +44 (0) 171 436 7807
Fax: +44 (0) 171 255 3209
------------------------------
Date: Monday, 20 February 1995 00:15:45 EST
From: Dave.McKeown@MAPS.CS.CMU.EDU
Subject: Conference: Computer Vision and Photogrammetry
SPIE Aerospace Sensing & Dual Use Sensors and Controls
Orlando '95
Orlando Marriot World Center Hotel
Orlando, Florida
17-21 April, 1995
T E C H N I C A L P R O G R A M
SPIE 95 Conference:
Integrating Photogrammetric Techniques With
Scene Analysis and Machine Vision II
April 19-21 1995
In conjunction with:
International ISPRS Intercommission Working Group II/III on Digital
Photogrammetric Systems.
American Society for Photogrammetry and Remote Sensing
Conference Chairs
David M. McKeown, Jr. Carnegie Mellon University, Pittsburgh
Ian J. Dowman University College, London (U.K.)
Program Committee
Jacky Desachy IRIT, University Paul Sabatier, (France)
Eberhard Gulch Royal Institute of Technology, (Sweden)
Christian Heipke Technische University, Munchen (FRG)
Olivier Jamet Institut Geographique National (France)
J.Chris McGlone Carnegie Mellon University, Pittsburgh
Edward M.Mikhail Purdue University,
Wednesday 19 April
Introduction and Welcome: Ian Dowman, David McKeown
SESSION 1 .... Wed. 8:15am to Noon
Mathematical Models and Analysis
Chair: Edward M. Mikhail, Purdue Univ.
Line Photogrammetry - A tool for Precise Localization of 3D Points
and lines in Automated Object Reconstruction, E. Gulch, Royal Institute
of Technology (Sweden) ....[7617-01]
Comparison Between Invariance and Photogrammetry for Image and Object
Transfer, H. F. Barakat, K. Weerawong, E. M. Mikhail, Purdue Univ...[7617-02]
Bundle Adjustment with Object Space Geometric Constraints for Site Modeling,
J. C. McGlone, Carnegie Mellon Univ. ....[7617-03]
Hybrid Photogrammetric Exploitation of Non-Metric Close Range Imagery,
J. T. Boland, Eastman Kodak Co.; D. W. Hicks, DBA Systems, Inc. ...[7617-04]
Performance Evaluation of Camera Calibration Techniques, K. B. Thornton,
R. M. Haralick, Univ. of Washington ...[7617-05]
An Investigation into the Geometric Consequencies of Processing Substantially
Compressed Images, U.Tempelmann, Z. Nwosu, R. M. Zumbrunn, Leica Heerbrugg AG
(Switzerland) ....[7617-06]
Lunch/Exhibit Break
SESSION 2 .... Wed. 1:30 to 3:30 pm
Automated Registration
Chair: Ian J. Dowman, Univ. College, London (UK)
Feature Entity Least Squares Matching: A Technique for the Automatic Control
of Imagery, W. J. Mueller, U. A. Rauhala, GDE Systems, Inc. ....[7617-07]
Model Supported Positioning, R. W. Ely, J. A. DiGirolamo, J. C. Lundgren,
Texas Instruments Inc ....[7617-08]
Developments in Automated Object-image Registration, I. J. Dowman,
Univ. College London (U.K.); W. Newton, Earth Observation Sciences Ltd.
(U.K.); A. Morgado, Univ. College London (U.K.); A. Holmes, Ordnance Survey
(U.K.) ....[7617-09]
Graph Based Urban Scene Analysis Using Symbolic Data, H.Moissinac,
Telecom Paris, Ecole Normale Superiure, and Thomson-CSF (France); H. Maitre,
I. Bloch, Telecom Paris (France) ....[7617-10]
SESSION 3 .... Wed. 4:00-5:30 pm
Generation of Digital Elevation Models
Chair: Christian Heipke, Technische Univ. Munchen (FRG)
SAR Interferometry: A Markovian Approach for Phase Unwrapping, D.Labrousse,
S. Dupont, M. Berthod, INRIA Sophia-Antipolis (France) ....[7617-11]
Terrain Reconstruction from Widely Separated Images, H. J. Schultz, Univ.
of Massachusetts/Amherst ....[7617-12]
SAR Interferomic Technique for Scene Analysis, F. Perlant, ISTAR
[France] ....[7617-13]
Thursday 20 April
SESSION 4 .... Thurs. 8:30-12:00 pm
Implementation and Operational Use
Chair: George E. Lukes, ARPA
Production Automation in Digital Photogrammetry, J. D. Thurgood, Leica
North America ....[7617-14]
Digital Photogrammetry at the U.S. Geological Survey, C. W. Greve, U.S.
Geological Survey ....[7617-15]
Digital Photogrammetry at IGN-France: presentation of the research
policy of a national mapping agency, O. Jamet, H. Le Men, Institut
Geographique National (France) ....[7617-16]
CIO: Exploiting the Picture, A. Krygiel, Central Imagery Office ....[7617-17]
A Nationwide Automatic Satellite Image Registration System, M. Holm,
E. Parmes, Technical Research Ctr. of Finland; A. Vuorela, National Land
Survey of Finland ....[7617-18]
Developing of Automatic Mapping in P.R. China, Z. Zhang, X. Wu, Wuhan
Technical Univ. of Surveying and Mapping (China); K. Kubik, Queensland
Univ. of Technology (Australia) ...[7617-19]
Lunch/Exhibit Break
SESSION 5 .... Thurs. 1:30-3:30pm
Cartography for Advanced Distributed Simulation
Chair: David M. McKeown, Jr., Carnegie Mellon Univ.
Cartographic Support for Distributed Simulation, G. E. Lukes,
ARPA ....[7617-20]
Creation and Utilization of Synthetic Environments in Real-time
Networked Interactive Simulation, F. Mamaghani, Consultant ....[7617-21]
Algorithm for the Automatic Adjustment of Double-Line Drain
Delineations for Accuracy and Consistency, J. Dolloff, GDE Systems,
Inc. ....[7617-22]
Dynamic Three-Dimensional Terrain Databases in Real-Time Environments,
R. H. Tucker, S. Bong, E. Runnion, Camber Corp. .... [7617-23]
ISPRS Intercommission Working Group II/III Business Meeting
Chair: Ian J. Dowman, Univ. College London (U.K.)
Cochair: David M. McKeown, Jr., Carnegie Mellon Univ.
Thurs. 20 April 4:00-6:00pm
Intercommission Working Group II/III of the International Society
for Photogrammetry and Remote Sensing (ISPRS) is concerned with
Digital Photogrammetric Workstations and has the objective of bringing
together scientists working in both hardware and software in order to
exchange views and push forward development in this area.
This meeting is the mid-term North American meeting held during the current
ISPRS quadrennium and is therefore an opportunity to discuss topics for
the Congress to be held in Vienna in 1996. It is also an opportunity to
exchange views between photogrammetrists and those working in computer vision,
scene analysis and remote sensing to explore common interests. The meeting
will review the work of the group between 1992 and 1994 and discuss future
plans, including further meetings and workshops.
Anyone attending the SPIE conference is welcome to join us and participate.
Friday 21 April
SESSION 6 .... Fri. 8:30am to Noon
Automated Extraction of Cultural Features
Chair: Chris McGlone, Carnegie Mellon Univ.
Hierarchical Approach to Automatic Road Extraction from Aerial Imagery,
C. Heipke, C. Steger, Technische Univ. Munchen (FRG) ....[7617-24]
Estimation and Characterization of the Distortion Model between a Map
and an Aerial Image: Application to the Road Network, P. Guirin, O. Jamet,
Institut Geographique National (France): H. Maitre, Telecom Paris
(France) ....[7617-25]
System for Automated Site Model Acquisition, R. T. Collins, A. R. Hanson,
E. M. Riseman, Univ. of Massachusetts/Amherst, ....[7617-26]
Three-dimensional Reconstruction of Buildings from Stereo Images Using a
Cooperation Between Monocular Analysis and Stereo Matching: An Evaluation
in the Context of Cartographic Production, O. Dissard, O. Jamet, Institut
Geographique National (France) ....[7617-27]
Automated Building Height Estimation and Object Extraction from
Multi-resolution Imagery, J.-P. Muller, T. Kim, Univ. College London
(U.K.) ....[7617-28]
Performance Analysis of Object Space Matching for Building Extractions
Using Several Images, M. Roux, Telecom Paris (France), David M. McKeown, Jr.,
Carnegie Mellon Univ. ....[7617-29]
REGISTRATION INFORMATION:
SPIE has designated "Integrating Photogrammetric Techniques with
Scene Analysis and Machine Vision II" as Proceedings 2486 for registration
and proceedings. You can obtain an electronic registration form from
SPIE by sending email to:
To: info-optolink-request@spie.org
Subject: SPIE Technical Conference 2486
In the body of the mail message put ONLY the following line
send [forms_and_guidelines]aerosense_regform.txt
HOTEL INFORMATION:
Our Conference takes place during Easter Week -- peak travel time in the
Orlando area. Many hotels will be filled early. Please register NOW and
identify yourself as an SPIE symposium attendee to obtain the special rates.
The same issues apply for air travel, especially during the weekend following
the conference.
Hotel arrangements are on page 95 of the AeroSense Advance Program. SPIE does
have blocks of rooms at the following hotels:
Marriott World Center - Host Hotel
sgl $129
dbl 142
Phone: 407 239-4200
Marriott Residence Inn: Lake Buena Vista - All Suite Hotel
one bedroom $114
two bedroom 124
Phone: 407 239-7700
Radisson Inn Maingate - They furnish a shuttle to and from Marriott
sgl/dbl $79
Phone: 407 396-1400
From: Babs Kobersteen
SPIE - Travel/Exhibit Coordinator
P.O. Box 10
Bellingham WA 98227-0010
Phone: 360/676-3290
Fax: 360/647-1445
If you have questions regarding this conference please contact:
David M. McKeown
Digital Mapping Laboratory
School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA. 15213
(412) 422-3907 (office)
(412) 681-5739 (fax)
dmm@cs.cmu.edu
------------------------------
Date: Mon, 20 Feb 1995 14:51:57 +0100
Subject: IWAFGR95
From: Martin Bichsel <mbichsel@ifi.unizh.ch>
INTERNATIONAL WORKSHOP ON AUTOMATIC FACE- AND GESTURE-RECOGNITION, IWAFGR95
Dear reader of this message.
As you will see in the tentative program below, IWAFGR95 will be a very
attractive Workshop where a significant number of leading researchers in face
and gesture recognition will meet each other and exchange new ideas. I would
therefore encourage you to attend at IWAFGR95 and would be happy to see you
at this workshop. Below, please find the WORKSHOP INFORMATION,
the REGISTRATION FORM, and the TENTATIVE PROGRAM. Please forward this
information to others who might be interested in this Workshop.
Yours sincerely
M. Bichsel
WORKSHOP INFORMATION
June 26-28, 1995
University of Zurich
Irchel Campus
Zurich, Switzerland
Building 21
PURPOSE
Automatic face and gesture recognition has rapidly developed into a highly
active field of research with application potentials in areas such as
contactless man-machine interaction, access control, automatic search in
visual databases, and very low bit-rate compression. This International
Workshop is focussing on image- and video-based face recognition, facial
expression recognition, and hand gesture and body movement analysis. Topics
of special interest include: 3D data acquisition, segmentation, modeling, and
invariance to illumination and geometrical transformations.
This Work-shop is an ideal forum for identifying, encouraging and exchanging
ideas on research and development as well as on new applications of automated
face- and gesture-recognition.
The Workshop is supported by IEEE Computer Society, Swiss Informaticians
Society (SI), Swiss Computer Graphics Association (SCGA), Union Bank of
Switzerland (UBILAB), Orell Fuessli Security Printing, Ltd, Bauer
Systemtechnik AG, Siemens-Albis AG, Cerberus AG, and Liechti AG.
PROGRAM OVERVIEW
The call for participation to IWAFGR95 has had an unexpectedly high success.
More than 80 papers have been received and reviewed by international experts.
A total of 31 contributions of very high quality have been selected for oral
presentation at IWAFGR95. Another 29 high quality papers have been selected
for poster presentation. These contributions give an outstanding overview of
current research and state-of-the-art techniques in face- and gesture-
recognition.
STEERING COMMITTEE
Prof. Dr. T. S. Huang
Beckman Institute and Coordinated Science Laboratory,
University of Illinois at Urbana-Champaign
Prof. Dr. A. Pentland
Vision and Modelling Group, Media Laboratory,
Massachusetts Institute of Technology
Prof. Dr. P. Stucki
MultiMedia Laboratory, Department of Computer Science, University of Zurich
PROGRAM COMMITTEE
Prof. Dr. K. Aizawa, University of Tokyo, Japan
Dr. M. Bichsel, University of Zurich, Switzerland
Prof. Dr. L. S. Davis, University of Maryland, USA
Prof. Dr. P. Ekman, University of California, San Francisco, USA
Dr. O. Garcia, National Science Foundation, USA
Prof. Dr. T. S. Huang, University of Illinois at Urbana-Champaign, USA
Prof. Dr. A. Pentland, Massachusetts Institute of Technology, USA
Dr. E. D. Petajan, AT&T Bell Laboratories, USA
Dr. J. Phillips, U.S. Army Research Laboratory, USA
Prof. Dr. T. Poggio, Massachusetts Institute of Technology, USA
Dr. A. Singh, Siemens Research Center, Princeton, USA
Prof. Dr. P. Stucki, University of Zurich, Switzerland
Prof. Dr. S. Tsuji, Osaka University, Japan
Prof. Dr. H. Wechsler, George Mason University, USA
Dr. W. Welsh, Brithish Telecom, United Kingdom
SPONOSRING ORGANIZATIONS:
IEEE Computer Society
Swiss Informaticians Society (SI)
Swiss Computer Graphics Association (SCGA)
Union Bank of Switzerland (UBILAB)
Orell Fuessli Security Printing, Ltd
Bauer Systemtechnik AG
Siemens-Albis AG
Cerberus AG
Liechti AG
LOCAL ARRANGEMENT CHAIRMAN
Dr. M. Bichsel
MultiMedia Laboratory, Department of Computer Science, University of Zurich,
Winterthurerstr. 190, CH-8057 Zurich, Switzerland,
Phone ++41-1-257 4358, Fax ++41-1-363 0035, E-Mail <mbichsel@ifi.unizh.ch>.
ACCOMMODATION
For accommodation please contact the Zurich Tourist Association at the following address:
Zurich Hotel Reservation, Verkehrsverein Zurich, Bahnhofbruecke 1, CH-8001 Zurich, Switzerland
Phone ++41-1-211 11 31, Fax ++41-1-212 01 41.
CONFERENCE SITE
Building 21 (Theatersaal)
Irchel Campus
University of Zurich
Winterthurerstr. 190
CH-8057 Zurich-Irchel
Switzerland
HOW TO REACH IRCHEL CAMPUS
>From Zurich Airport by taxi to Irchel Campus (approx. sFr. 30) or by train
(approx. sFr. 10) to Zurich main station (Hauptbahnhof).
>From Zurich main station (Hauptbahnhof) to Irchel Campus by taxi
(approx. sFr. 20) or by tramway number 10 to Irchel (Oerlikon direction), The
tram stop Irchel is situated at the border of the campus park. Signs will
guide you to the workshop site.
PARTICIPATION
Participants at this International Workshop are asked to fill in the enclosed
form and to return it as soon as possible to the Workshop Secretariat. The
participation fee is sFr. 240.- for fully paying participants, sFr. 200.- for
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WORKSHOP SECRETARIAT
Ms Maja Ebner
MultiMedia Laboratory
Department of Computer Science
University of Zurich
Winterthurerstrasse 190
CH-8057 Zurich, Switzerland
Phone: ++41-1-257 4321
Fax: ++41-1-363 0035
E-mail: ebner@ifi.unizh.ch
Version 1.0
TENTATIVE PROGRAM
Monday, June 26, 1995
8:30 Registration
9:00 Welcome Address
Invited Talk
9:10 Faces, Sculls, and Models
P. Stucki - University of Zurich, Switzerland
9:55 Coffee
Invited Talk
10:15 P. Ekman - University of California, San Francisco, USA
Session 1 Nonrigid Face Recognition I
Chair: Prof. Dr. H. Wechsler, George Mason University, USA
11:00 Recognizing Facial Expressions under Rigid and Non-Rigid Facial Motions
Using Local Parametric Models of Image Motion
M. J. Black and Y. Yacoob - Xerox Palo Alto Research Center, USA
11:30 ZN-Face: A System for Access Control Using Automated Face Recognition
W. Konen and E. Schulze-Kr ger - University of Bochum, Germany
12:00 Applications of Synergetics in Decoding Facial Expressions of Emotion
P. Vanger, R. Hnlinger, and H. Haken - University of Stuttgart,
Germany
12:30 Lunch
Session 2 Nonrigid Face Recognition II
13:30 Lipreading Using Eigensequences
N. Li, S. Dettmer, and M. Shah - University of Central Florida, USA
14:00 Facial Expression Recognition Using Visually Extracted Facial
Action Parameters
I. A. Essa and A. Pentland -
Massachusetts Institute of Technology, USA
14:30 Locating Faces and Facial Parts
H. P. Graf, T. Chen, E. Petajan, and E. Cosatto -
AT&T Bell Laboratories, USA
Poster Session
15:00 Posters, Coffee
Session 3 Face Recognition under Varying Illumination
Chair: Prof. Dr. L. S. Davis, University of Maryland, USA
16:00 Face Recognition from Frontal and Profile Views
G. G. Gordon - TASC, USA
16:30 Automatic Face Recognition: Combining Configuration and Texture
I. Craw, N. Costen, T. Kato, G. Robertson, and S. Akamatsu -
ATR, Japan and University of Aberdeen, UK
17:00 Human Face Recognition: From Views to Models - From Models to Views
M. Bichsel - University of Zurich, Switzerland
17:30 Data-Driven Methods in Face Recognition
P. J. Phillips and Y. Vardi - U.S. Army Research Laboratory, USA
18:00 Apero
Tuesday, June 27, 1995
Invited Talk
9:00 Looking at People: Interactive Video Environments and
Wearable Computers
A. Pentland - Massachusetts Institute of Technology, USA
9:45 Coffee
Invited Talk
10:05 Hand Gesture Modeling, Analysis, and Synthesis
T. S. Huang - University of Illinois at Urbana-Champaign, USA
Session 4 Face Recognition under Varying Pose I
10:50 Generalization from a Single View in Face Recognition
M. Lando and S. Edelman - The Weizmann Institute of Science, Israel
11:20 Real-Time Facial Analysis and Synthesis Chain
A. Saulnier, M.-L. Viaud, and D. Geldreich - INA, France
11:50 Face Recognition and Gender Determination
L. Wiskott, J.-M. Fellous, N. Kr ger, and Ch. von der Malsburg
University of Bochum, Germany
12:20 Lunch
Session 5 Gesture Recognition I
Chair: Dr. E. D. Petajan, AT&T Bell Laboratories, USA
13:10 Automatic Interpretation of Human Faces and Hand Gestures Using
Flexible Templates
A. Lanitis, C. J. Taylor, T. F. Cootes, and A. Tariq
University of Manchester, United Kingdom
13:40 Learning Structure and Deformation Modes of Nonrigid Objects in
Long Image Sequences
Ch. Kervrann and F. Heitz - IRISA/INRIA, France
14:10 Automatic Face And Gestual Recognition for Video Indexing
E. Clergue, M. Goldberg, N. Madrane, and B. Merialdo
EURECOM Institute, France
14:40 Coffee
Session 6 Gesture Recognition II
15:00 Hand Gesture Recognition from Edge Maps
C. Uras and A. Verri - University of Genova, Italy
15:30 Maximum Likelihood Detection of Faces and Hands
B. Moghaddam and A. Pentland -
Massachusetts Institute of Technology, USA
16:00 Configuration States for the Representation and Recognition of Gesture
A. D. Wilson and A. F. Bobick -
Massachusetts Institute of Technology, USA
16:30 Attention-driven Expression and Gesture Analysis in an
Interactive Environment
T. Darrell and A. Pentland -
Massachusetts Institute of Technology, USA
Panel Discussion
17:20 The FERET Program: Overview and Accomplishments, followed by panel
Chair: P. J. Phillips, U.S. Army Research Laboratory, USA
19:00 Banquet
Wednesday, June 28, 1995
Invited Talk
9:00 Speaker from Neurobiology or Physics of Vision
9:45 Coffee
Session 7 Face Recognition under Varying Pose
Chair: Prof. Dr. K. Aizawa, University of Tokyo, Japan
10:10 Automatic Location Tracking of Faces and Facial Features in Video
Sequences
A. Jacquin and A. Eleftheriadis - AT&T Bell Laboratories, USA
10:40 Multiple Depth Maps for Shape from Multiple Views and Visual Cues
T. Fromherz and M. Bichsel - University of Zurich, Switzerland
11:10 Face Localization via Shape Statistics
M. C. Burl, T. K. Leung, and P. Perona -
California Institute of Technology, USA
11:40 Learning Networks for Face Analysis and Synthesis
T. Poggio and D. Beymer - Massachusetts Institute of Technology, USA
12:10 Lunch
Session 8 Applications of Gesture Recognition I
13:10 GestureComputer - New Ways of Operating a Computer
Ch. Maggioni - Siemens AG, Germany
13:40 Real-Time 3-D Interaction with up to 16 Degrees of Freedom from
Monocular Video Image Flows
U. Brckl-Fox - University of Karlsruhe, Germany
14:10 Television Control by Hand Gestures
W. T. Freeman and C. D. Weissman -
Mitsubishi Electric Research Labs, USA
14:40 Coffee
Session 9 Applications of Gesture Recognition II
15:00 Visual Hand Gesture Recognition for Window System Control
R. Kjeldsen and J. Kender - IBM T. J. Watson Research Center, USA
15:30 Visual Recognition of American Sign Language Using Hidden Markov Models
Th. Starner and A. Pentland -
Massachusetts Institute of Technology, USA
16:00 Finger Tracking as an Input Device for Augmented Reality
J. L. Crowley, F. Berard, and J. Coutaz - LIFIIA-IMAG, France
16:30 Learning-Based Hand Sign Recognition
Y. Cui and J. Weng - Michigan State University, USA
Panel Discussion
17:10 Panel: Gesture Recognition
Chair: L. S. Davis, University of Maryland, USA
Adjourn
Poster Session
1 Face Recognition by Facial Profile Analysis
K. Yu, X. Jiang, and H. Bunke - University of Bern, Switzerland
2 GAZE: An Attentive Processing Strategy to Detect and Analyze the
Prominent Facial Regions
R. Herpers, H. Kattner, H. Rodax, and G. Sommer - Medis, Germany
3 Invariance in Radial Basis Function Neural Networks in
Human Face Classification
J. Howell and H. Buxton - University of Sussex, United Kingdom
4 Benchmark Studies on Face Recognition
S. Gutta, J. Huang, D. Singh, I. Shah, B. Takcs, and H. Wechsler
George Mason University, USA
5 Classsification of Intrusions Using Zero Crossings
A. Makarov and J.-M. Vesin - EPFL-Ecublens, Switzerland
6 Extraction of Facial Images from Complex Background Using
Color Information and SGLD Matrices
Y. Nakano and Y. Dai - Shinshu University, Japan
7 Face Location Using a Dynamic Model of Retinal Feature Extraction
B. Takcs and H. Wechsler - George Mason University, USA
8 Single-View Based Recognition of Faces Rotated in Depth
T. Maurer and Ch. von der Malsburg - University of Bochum, Germany
9 Detection of Face Orientation and Facial Components Using
Distributed Appearance Modeling
Y. Sumi and Y. Ohta - Electrotechnical Laboratory of Tsukaba, Japan
10 Extraction of Facial Features for Recognition Using Neural Networks
N. Intrator, D. Reisfeld, and Y. Yeshurun -
Tel-Aviv University, Israel
11 Human-Centered Human-Computer Interface Using Multiple View Invariants
Y. Kuno, K. H. Jo, K. Hayashi, and Y. Shirai -
Osaka University, Japan
12 3D Model-based Recognition of Human Movement by Dynamic Time Warping
D. M. Gavrila and L. S. Davis - University of Maryland, USA
13 Recognizing Faces Showing Expressions
Y. Yacoob, H.-M. Lam, and L. S. Davis - University of Maryland, USA
14 Emotion Model - a Criterion for Recognition, Synthesis and
Compression of Face and Emotion
S. Morishima - University of Toronto, Canada
15 Posture Estimation in Reduced-Model Gesture Input Systems
E. Hunter, J. Schlenzig, and R. Jain - University of California, USA
16 Orientation Histograms for Hand Gesture Recognition
W. T. Freeman and M. Roth - Mitsubishi Electric Research Labs, USA
17 Hand Pose Tracking for 3-D Mouse Emulation
P. Nesi and A. Del Bimbo - University of Florence, Italy
18 Analysis and Synthesis of Facial Motions
R. Magnolfi and P. Nesi - University of Florence, Italy
19 An Application of Fuzzy Theory: Face Detection
H. Wu, Q. Chen, and M. Yachida - Osaka University, Japan
20 Automatic Bimodal Speech Recognition
P. Jourlin, M. El-Bze, and H. Mloni -
University of Avignon, France
21 Face Recognition across Large Viewpoint Changes
A. J. O`Toole, H. H. B lthoff, N. Troje, and T. Vetter -
University of Texas, USA
22 Determining Facial Expressions in Real Time
Y. Moses, D. Reynard, and A. Blake - University of Oxford,
United Kingdom
23 Using Phase Space Constraints to Represent Human Body Motion
L. Campbell and A. Bobick -
Massachusetts Institute of Technology, USA
24 Gaze Tracking Based on Face-Color
B. Schiele and A. Waibel - Carnegie Mellon University, USA
25 Face Recognition by Feature Demodulation
J. Daugman - University of Cambridge, USA
26 Vision Based Hand Pose Estimation
R. Vaillant and D. Darmon - Thomson-CSF, France
27 Analysis and Segmentation of Facial Features in Laser Range Data
R. Koch and M. H. Gross - ETH Zurich, Switzerland
28 Multi-sensory Pattern Analysis for Person Identification with
Synergetic Computers
U. Dieckmann, P. Plankenstein, and T. Wagner
Frauenhofer Institute for Integrated Circuits, Germany
29 FingerMouse: A Freehand Pointing Interface
F. K. H. Quek, T. Mysliwiec, and M. Zhao -
University of Illinois, USA
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