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IMA Annual Program Year Workshop

Natural Images

March 6-10, 2006

Organizers:

Olivier Faugeras

INRIA/Sophia Antipolis
http://www-sop.inria.fr/robotvis/personnel/faugeras/faugeras-eng.html

Jan J. Koenderink

Department Physics of Man
University of Utrecht
http://www.phys.uu.nl/~wwwpm/HumPerc/koenderink.html

Jitendra Malik

Department of Electrical Engineering & Computer Science
University of California - Berkeley
http://www.cs.berkeley.edu/~malik/

Schedule Participants Program Application Feedback
IMA Live Streaming and Webcasting Maps
Abstracts and Talk Materials Dining Guide
Photo Gallery

Description:

Natural images remain poorly understood, except for some phenomenology that appears to be common to virtually all "natural images" such as the self-similar (fractal) spatial structure. However, this "universality" it is not very informative. More specific image structure depends upon the physical causes of the radiance function ("light field") and on the imaging process. The latter is well, the former hardly understood. The light field is due to both the "primary sources" as well as to multiple scattering (mostly by rough surfaces) in the scene. Either component may dominate, depending on location in the scene. The optical interactions depend mainly upon geometrical optics processes (interposition, vignetting, attitude effect, scattering by rough surfaces ...) on many different scales. Only the molecular scale is well understood (standard physics). Most substances from the natural environment are non-homogeneous, have rough boundaries, and are quite different on different scales. Descriptions must span the range from leaf, leaf cluster, foliage, tree top, forest, wooded area, ... for instance, depending upon distance and resolution. The appearances of surfaces objects depends upon the light field and the light field depends upon the scene (the objects).

During the 1980's and '90's computer vision almost singularly focussed on (chrono-)geometrical issues (the WHEN, WHERE questions). The WHAT questions have been neglected and will become an important focus in computer vision/image processing/computer graphics for the next decades. Important topics that might be addressed are estimation of the light field (in addition to/together with the geometry), segmentation of natural objects, classification of materials on the basis of (illumination dependent) texture, (estimated) BRDF and color, "color constancy", classification of the setting ("landscape", "cityscape", "office environment", ..), and so forth.

Schedule
Monday, March 6
8:15a-9:00a Registration and coffee   EE/CS 3-180
9:00a-9:10a Welcome to the IMA Douglas N. Arnold (University of Minnesota Twin Cities) EE/CS 3-180
9:10a-9:20a Opening Remarks Jan J. Koenderink (Rijksuniversiteit te Utrecht), Jitendra Malik (University of California) EE/CS 3-180
9:20a-10:20a Natural image statistics enable us to quantitatively model visual grouping and figure-ground cues Jitendra Malik (University of California) EE/CS 3-180
10:20a-10:45a coffee   EE/CS 3-176
10:45a-11:45a Stereo for curves and surfaces Steven W. Zucker (Yale University) EE/CS 3-180
11:45a-1:30p lunch    
1:30p-2:30p Natural images, multiscale manifold models, and compressive imaging Richard Baraniuk (Rice University) EE/CS 3-180
2:30p-3:00p Second Chances   EE/CS 3-180
3:10p-3:15p Group Photos    
3:15p-4:30p Poster Session/Reception
Lind Hall 400
Branch voxels and junctions in 3D skeletons of confocal microscope images of human brain tissue Gisela Klette (University of Auckland)
Texture mixing via universal simulation Guillermo R. Sapiro (University of Minnesota Twin Cities)
Physics-motivated features for distinguishing photographic images and computer graphics Mao-Pei Tsui (University of Toledo)
A variational approach to image and video super-resolution Todd Wittman (University of Minnesota Twin Cities)
Modeling different scales of oscillations in images using generalized functions Triet Minh Le (University of California)
Manifold-based models for image processing Michael Wakin (Rice University)
A closer look at texture metrics for visualization Haleh Hagh-Shenas (University of Minnesota Twin Cities)
Victoria Interrante (University of Minnesota Twin Cities)
Modeling superconductivity via Ginzburg-Landau Walter Richardson Jr. (University of Texas)
Compressive imaging for image and video acquisition Marco F. Duarte (Rice University)
Curvelets vs. wavelets: Mathematical models of natural images Francisco Blanco-Silva (Purdue University)
Bradley J. Lucier (Purdue University)
Efficient Coding Schemes for Natural Image Statistics Aaron Clarke (York University)
Tuesday, March 7
8:45a-9:00a coffee   EE/CS 3-176
9:00a-10:00a How many categories can you recognize? Pietro Perona (California Institute of Technology) EE/CS 3-180
10:00a-10:30a coffee   EE/CS 3-176
10:30a-11:30a Natural images, natural percepts and primary visual cortex Daniel Kersten (University of Minnesota Twin Cities) EE/CS 3-180
11:30a-1:30p lunch    
1:30p-2:30p Image statistics and surface perception Edward H. Adelson (Massachusetts Institute of Technology) EE/CS 3-180
2:30p-3:00p Second Chances   EE/CS 3-180
Wednesday, March 8
8:45a-9:00a coffee   EE/CS 3-176
9:00a-10:00a Image texture and the "flow of light" Jan J. Koenderink (Rijksuniversiteit te Utrecht) EE/CS 3-180
10:00a-10:30a coffee   EE/CS 3-176
10:30a-11:30a Surface color perception in three-dimensional scenes: Estimating, representing and discounting the illuminant Laurence T. Maloney (New York University) EE/CS 3-180
11:30a-1:30p lunch    
1:30p-2:30p Perception and classification of surface texture Mike J. Chantler (Heriot-Watt University) EE/CS 3-180
2:30p-3:00p Second Chances   EE/CS 3-180
Thursday, March 9
8:45a-9:00a coffee   EE/CS 3-176
9:00a-10:00a Characterizing local features of illuminated objects James Damon (University of North Carolina) EE/CS 3-180
10:00a-10:30a coffee   EE/CS 3-176
10:30a-11:30a Panoramic imaging and laser range finders for 3D scene visualization Reinhard Klette (University of Auckland) EE/CS 3-180
11:30a-1:30p lunch    
1:30p-2:30p Removing photographic blur caused by camera motion: How can you identify when an image looks blurred? William T. Freeman (Massachusetts Institute of Technology) EE/CS 3-180
2:30p-3:00p Second Chances   EE/CS 3-180
Friday, March 10
8:45a-9:00a coffee   EE/CS 3-176
9:00a-10:00a Natural image contours James Elder (York University) EE/CS 3-180
10:00a-10:30a coffee   EE/CS 3-176
10:30a-11:30a Short presentations
EE/CS 3-180
Want to speak? Talk to Jan.
Geometry of panoramic visual space Jan J. Koenderink (Rijksuniversiteit te Utrecht)
What you can see at a blink Pietro Perona (California Institute of Technology)
11:30a-12:00p Second Chances   EE/CS 3-180

LIST OF CONFIRMED PARTICIPANTS

Name Department Affiliation
Edward H. Adelson Department of Brain and Cognitive Sciences and Artificial Intelligence Lab Massachusetts Institute of Technology
Iman Aganj Department of Electrical and Computer Engineering University of Minnesota Twin Cities
William K. Allard Department of Mathematics Duke University
Jung-Ha An Institute for Mathematics and its Applications University of Minnesota Twin Cities
Pablo Arias Instituto de Ingeneria Electrica University of the Republic
D. Gregory Arnold AFRL/SNAT Air Force Research Laboratory
Douglas N. Arnold Institute for Mathematics and its Applications University of Minnesota Twin Cities
Donald G. Aronson Institute for Mathematics and its Applications University of Minnesota Twin Cities
Richard Baraniuk Department of Electrical and Computer Engineering Rice University
Evgeniy Bart Institute for Mathematics and its Applications University of Minnesota Twin Cities
Peter Battaglia   University of Minnesota Twin Cities
Andrea L. Bertozzi Department of Mathematics University of California
Francisco Blanco-Silva Department of Mathematics Purdue University
Edward Howard Bosch Basic and Applied Research National Geospatial Intelligence Agency
Huseyin Boyaci   University of Minnesota Twin Cities
Mark Brady Department of Psychology North Dakota State University
Mike J. Chantler School of Mathematical and Computer Sciences Heriot-Watt University
Qianyong Chen   University of Minnesota Twin Cities
Li Cheng Statistical Machine Learning Group National ICT Australia Limited
Vassilios Christopoulos Department of Computer Science and Engineering University of Minnesota Twin Cities
Aaron Clarke Department of Psychology York University
Steven Benjamin Damelin Department of Mathematics Georgia Southern University
James Damon Department of Mathematics University of North Carolina
Brian DiDonna Institute for Mathematics and its Applications University of Minnesota Twin Cities
Katja Doerschner   New York University
Marco F. Duarte Electrical and Computing Engineering Rice University
James Elder Department of Computer Science York University
William T. Freeman Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology
Donald Geman Department of Applied Mathematics and Statistics Johns Hopkins University
Tryphon T. Georgiou Department of Electrical Engineering University of Minnesota Twin Cities
Raffaele Grompone   École Normale Supérieure de Cachan
Changfeng Gui Department of Mathematics University of Connecticut
Haleh Hagh-Shenas Computer Science Department University of Minnesota Twin Cities
Jooyoung Hahn Division of Applied Mathematics Korea Advanced Institute of Science and Technology (KAIST)
Hazem Hamdan School of Mathematics University of Minnesota Twin Cities
Gloria Haro Ortega Institute for Mathematics and its Applications University of Minnesota Twin Cities
Jay Hegde   University of Minnesota Twin Cities
Xiang Huang Department of Mathematics University of Connecticut
Victoria Interrante Department of Computer Science and Engineering University of Minnesota Twin Cities
Jeremie Jakubowicz Applied Mathematics Department École Normale Supérieure de Cachan
Sookyung Joo Institute for Mathematics and its Applications University of Minnesota Twin Cities
Sung Ha Kang Department of Mathematics University of Kentucky
Daniel Kersten Department of Psychology University of Minnesota Twin Cities
Seongjai Kim Department of Mathematics and Statistics Mississippi State University
Gisela Klette Department of Computer Science University of Auckland
Reinhard Klette Department of Computer Science University of Auckland
Jan J. Koenderink Department Physics of Man Rijksuniversiteit te Utrecht
Matthias Kurzke Institute for Mathematics and its Applications University of Minnesota Twin Cities
Song-Hwa Kwon Institute for Mathematics and its Applications University of Minnesota Twin Cities
Triet Minh Le Mathematics Department University of California
Chang-Ock Lee Division of Applied Mathematics Korea Advanced Institute of Science and Technology (KAIST)
Stacey E. Levine Department of Mathematics and Computer Science Duquesne University
Mike Lewicki Department of Computer Science Carnegie-Mellon University
Debra Lewis Institute for Mathematics and its Applications University of Minnesota Twin Cities
Hstau Liao Institute for Mathematics and its Applications University of Minnesota Twin Cities
Bradley J. Lucier Department of Mathematics Purdue University
Alison Malcolm   University of Minnesota Twin Cities
Jitendra Malik Department of Electrical Engineering and Computer Science University of California
Laurence T. Maloney Department of Psychology New York University
James Money Mathematics Department University of Kentucky
Simon Morgan Department of Mathematics University of Minnesota Twin Cities
Frank Natterer Fachbereich Mathematik Westfälische Wilhelms-Universität Münster
Tiang-Tsong Ng Department of Electrical Engineering Columbia University
Sharareh Noorbaloochi Department of Electrical Engineering University of Minnesota Twin Cities
Peter J. Olver School of Mathematics University of Minnesota Twin Cities
Pietro Perona Department of Electrical Engineering California Institute of Technology
Stéphane J. Rainville Department of Psychology North Dakota State University
Gregory J. Randall Instituto de Ingenieria Electrica University of the Republic
Walter Richardson Jr. Department of Mathematical Sciences University of Texas
Alessandro Rizzi Dipartimento di Tecnologie dell'Informazione Università di Milano
Jonathan Rogness School of Mathematics University of Minnesota Twin Cities
Fadil Santosa School of Mathematics University of Minnesota Twin Cities
Guillermo R. Sapiro Department of Electrical and Computer Engineering University of Minnesota Twin Cities
P. Coleman Saunders Department of Computer Science University of Minnesota Twin Cities
Arnd Scheel Institute for Mathematics and its Applications University of Minnesota Twin Cities
Jin Keun Seo Department of Mathematics Yonsei University
Jianhong Shen Department of Earth and Atmospheric Sciences University of Minnesota Twin Cities
Tatiana Soleski Institute for Mathematics and its Applications University of Minnesota Twin Cities
Sundararajan Srinivasan Sr. Electrical Department Mississippi State University
Christopher Stark Division of Mathematical Sciences National Science Foundation
Rashmi Sundareswara   University of Minnesota Twin Cities
Vladimir Sverak School of Mathematics University of Minnesota Twin Cities
Serena Thompson   University of Minnesota Twin Cities
William Toczyski   University of Minnesota Twin Cities
Carl Toews Institute for Mathematics and its Applications University of Minnesota Twin Cities
Mao-Pei Tsui Department of Mathematics University of Toledo
Alejandra Umana-Diaz Computer Information Science and Engineering Department University of Puerto Rico
Kevin Vixie Mathematical Modeling and Analysis (T-7) Los Alamos National Laboratory
Michael Wakin Electrical and Engineering Department Rice University
Jingyue Wang Department of Mathematics Purdue University
Xiaoqiang Wang   University of Minnesota Twin Cities
Martin Welk Mathematical Image Analysis Group Universität des Saarlandes
Todd Wittman School of Mathematics University of Minnesota Twin Cities
Ofer Zeitouni School of Mathematics University of Minnesota Twin Cities
Steven W. Zucker Computer Science and Electrical Engineering Yale University