Final Programme - Paper sessions

Please find below the final programme for the paper sessions of the main conference covering:

Active and Real-time Vision
Image Features
Visual Motion
Surface Geometry
Grouping and Segmentation
Structure from Motion
Shape
Stereoscopic Vision I
Stereoscopic Vision II
Object Recognition and Vision Systems Engineering & Evaluation
Statistical Learning
Texture, Shading and Colour

A reading instruction: please notice that the numbers which precede the titles of the papers refer to their placement in the ECCV 2002 proceedings, i.e. I-3 means that this paper can be found in volume 1 at page 3.

Tuesday 28th of May

09:30-10:30 Active and Real-time Vision
Chair: Olivier Faugeras Palladium

I-3 Tracking with the EM Contour Algorithm
A. E. C. Pece; A. D. Worrall -

I-18 M2Tracker: A Multi-View Approach to Segmenting and Tracking People in
a Cluttered Scene Using Region-Based Stereo
A. Mittal; L. S. Davis -

Tuesday 28th of May

11:00-12:30 Image Features
Chair: Jaan Koenderink & Rachid Deriche Palladium

I-37 Analytical Image Models and Their Applications
A. Srivastava et al. -

I-52 Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
T. Lindeberg -

I-68 Combining Appearance and Topology for Wide Baseline Matching
D. Tell; S. Carlsson -

I-82 Guided Sampling and Consensus for Motion Estimation
B. Tordoff; D. W. Murray -

Tuesday 28th of May

16:00-17:30 Visual Motion
Chair: Richard Hartley & Luc Van Gool Palladium

I-753 Increasing Space-Time Resolution in Video
E. Shechtman et al. -

I-769 Hyperdynamics Importance Sampling
C. Sminchisescu; B. Triggs -

I-784 Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
H. Sidenbladh et al. -

I-801 Space-Time Tracking
L. Torresani; C. Bregler -

Wednesday 29th of May

09:00-10:30 Surface Geometry
Chair: David Fleet & Vaclav Hlavac Palladium

II-3 A Variational Approach to Recovering a Manifold from Sample Points
J. Gomes; A. Mojsilovic -

II-18 A Variational Approach to Shape from Defocus
H. Jin; P. Favaro -

II-31 Shadow Graphs and Surface Reconstruction
Y. Yu; J. Chang -

II-46 Specularities Reduce Ambiguity of Uncalibrated Photometric Stereo
O. Drbohlav; R. Sara -

Wednesday 29th of May

11:00-12:30 Grouping and Segmentation
Chair: Jim Little & Peter Meer Palladium

II-63 Pairwise Clustering with Matrix Factorisation and the EM Algorithm
A. Robles-Kelly; E. R. Hancock -

II-78 Shape Priors for Level Set Representations
M. Rousson; N. Paragios -

II-93 Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
D. Cremers et al. -

II-109 Class-Specific, Top-Down Segmentation
E. Borenstein; S. Ullman -

Wednesday 29th of May

16:00-18:00 Structure from Motion
Chair: Stefano Soatto & Kostas Danilidis Palladium

II-823 General Trajectory Triangulation
J. Kaminski; M. Teicher -

II-837 Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery
M. Pollefeys et al. -

II-852 A Bayesian Estimation of Building Shape Using MCMC
A. Dick et al. -

II-867 Structure and Motion for Dynamic Scenes - the Case of Points Moving in Planes
P. Sturm -

II-883 What Does the Scene Look Like from a Scene Point?
M. Irani et al. -

Thursday 30th of May

09:00-10:30 Shape
Chair: Jan Olof Eklund & Gerald Sommer Palladium

III-3 3D Statistical Shape Models Using Direct Optimisation of Description Length
R. Davies et al. -

III-21 Approximate Thin Plate Spline Mappings
G. Donato; S. Belongie -

III-32 DEFORMOTION: Deforming Motions, Shape Average and the Joint Registration and Segmentation of Images
S. Soatto; A. J. Yezzi -

III-48 Region Matching with Missing Parts
A. Duci et al. -

Thursday 30th of May

11:00-12:30 Stereoscopic Vision I
Chair: Bill Triggs & Theodore Papadopoulo Palladium

III-65 What Energy Functions Can Be Minimized via Graph Cuts?
V. Kolmogorov; R. Zabih -

III-82 Multi-Camera Scene Reconstruction via Graph Cuts
V. Kolmogorov; R. Zabih -

III-97 A Markov Chain Monte Carlo Approach to Stereovision
J. Senegas -

III-112 A Probabilistic Theory of Occupancy and Emptiness
R. Bhotika et al. -

Thursday 30th of May

16:00-17:00 Stereoscopic Vision II
Chair: Amnon Shashua & Andrew Zisserman Palladium

III-869 Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction
T. Zickler et al. -

III-885 Minimal Surfaces for Stereo
C. Buehler et al. -

III-900 Finding the Largest Unambiguous Component of Stereo Matching
R. Sara -

Friday 31st of May

09:00-10:30 Object Recognition and Vision Systems Engineering & Evaluation
Chair: Helder Araujo & Bjarne Ersbøll Palladium

IV-3 Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
S. Romdhani et al. -

IV-20 Hausdorff Kernel for 3D Object Acquisition and Detection
A. Barla et al. -

IV-34 Evaluating Image Segmentation Algorithms Using the Pareto Front
M. Everingham et al. -

IV-49 On Performance Characterization and Optimization for Image Retrieval
J. Vogel; B. Schiele -

Friday 31st of May

11:00-12:30 Statistical Learning
Chair: Tim Cootes & Cordelia Schmid Palladium

IV-67 Statistical Learning of Multi-View Face Detection
S. Z. Li et al. -

IV-82 Dynamic Trees: Learning to Model Outdoor Scenes
N. J. Adams; C. K. I. Williams -

IV-97 Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
P. Duygulu et al. -

IV-113 Learning a Sparse Representation for Object Detection
S. Agarwal; D. Roth -

Friday 31st of May

16:00-17:15 Texture, Shading and Colour
Chair: Michael Black & Mads Nielsen Palladium

IV-793 What Are Textons?
S. C. Zhu et al. -

IV-808 Bidirectional Texture Contrast Function
S. C. Pont; J. J. Koenderink -

IV-823 Removing Shadows from Images
G. Finlayson et al. -

Tuesday 28th of May
09:30-10:30	Active and Real-time Vision Chair: Olivier Faugeras		Palladium
	I-3	Tracking with the EM Contour Algorithm A. E. C. Pece; A. D. Worrall	-
	I-18	M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo A. Mittal; L. S. Davis	-

Tuesday 28th of May
11:00-12:30	Image Features Chair: Jaan Koenderink & Rachid Deriche		Palladium
	I-37	Analytical Image Models and Their Applications A. Srivastava et al.	-
	I-52	Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters T. Lindeberg	-
	I-68	Combining Appearance and Topology for Wide Baseline Matching D. Tell; S. Carlsson	-
	I-82	Guided Sampling and Consensus for Motion Estimation B. Tordoff; D. W. Murray	-

Tuesday 28th of May
16:00-17:30	Visual Motion Chair: Richard Hartley & Luc Van Gool		Palladium
	I-753	Increasing Space-Time Resolution in Video E. Shechtman et al.	-
	I-769	Hyperdynamics Importance Sampling C. Sminchisescu; B. Triggs	-
	I-784	Implicit Probabilistic Models of Human Motion for Synthesis and Tracking H. Sidenbladh et al.	-
	I-801	Space-Time Tracking L. Torresani; C. Bregler	-

Wednesday 29th of May
09:00-10:30	Surface Geometry Chair: David Fleet & Vaclav Hlavac		Palladium
	II-3	A Variational Approach to Recovering a Manifold from Sample Points J. Gomes; A. Mojsilovic	-
	II-18	A Variational Approach to Shape from Defocus H. Jin; P. Favaro	-
	II-31	Shadow Graphs and Surface Reconstruction Y. Yu; J. Chang	-
	II-46	Specularities Reduce Ambiguity of Uncalibrated Photometric Stereo O. Drbohlav; R. Sara	-

Wednesday 29th of May
11:00-12:30	Grouping and Segmentation Chair: Jim Little & Peter Meer		Palladium
	II-63	Pairwise Clustering with Matrix Factorisation and the EM Algorithm A. Robles-Kelly; E. R. Hancock	-
	II-78	Shape Priors for Level Set Representations M. Rousson; N. Paragios	-
	II-93	Nonlinear Shape Statistics in Mumford-Shah Based Segmentation D. Cremers et al.	-
	II-109	Class-Specific, Top-Down Segmentation E. Borenstein; S. Ullman	-

Wednesday 29th of May
16:00-18:00	Structure from Motion Chair: Stefano Soatto & Kostas Danilidis		Palladium
	II-823	General Trajectory Triangulation J. Kaminski; M. Teicher	-
	II-837	Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery M. Pollefeys et al.	-
	II-852	A Bayesian Estimation of Building Shape Using MCMC A. Dick et al.	-
	II-867	Structure and Motion for Dynamic Scenes - the Case of Points Moving in Planes P. Sturm	-
	II-883	What Does the Scene Look Like from a Scene Point? M. Irani et al.	-

Thursday 30th of May
09:00-10:30	Shape Chair: Jan Olof Eklund & Gerald Sommer		Palladium
	III-3	3D Statistical Shape Models Using Direct Optimisation of Description Length R. Davies et al.	-
	III-21	Approximate Thin Plate Spline Mappings G. Donato; S. Belongie	-
	III-32	DEFORMOTION: Deforming Motions, Shape Average and the Joint Registration and Segmentation of Images S. Soatto; A. J. Yezzi	-
	III-48	Region Matching with Missing Parts A. Duci et al.	-

Thursday 30th of May
11:00-12:30	Stereoscopic Vision I Chair: Bill Triggs & Theodore Papadopoulo		Palladium
	III-65	What Energy Functions Can Be Minimized via Graph Cuts? V. Kolmogorov; R. Zabih	-
	III-82	Multi-Camera Scene Reconstruction via Graph Cuts V. Kolmogorov; R. Zabih	-
	III-97	A Markov Chain Monte Carlo Approach to Stereovision J. Senegas	-
	III-112	A Probabilistic Theory of Occupancy and Emptiness R. Bhotika et al.	-

Thursday 30th of May
16:00-17:00	Stereoscopic Vision II Chair: Amnon Shashua & Andrew Zisserman		Palladium
	III-869	Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction T. Zickler et al.	-
	III-885	Minimal Surfaces for Stereo C. Buehler et al.	-
	III-900	Finding the Largest Unambiguous Component of Stereo Matching R. Sara	-

Friday 31st of May
09:00-10:30	Object Recognition and Vision Systems Engineering & Evaluation Chair: Helder Araujo & Bjarne Ersbøll		Palladium
	IV-3	Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions S. Romdhani et al.	-
	IV-20	Hausdorff Kernel for 3D Object Acquisition and Detection A. Barla et al.	-
	IV-34	Evaluating Image Segmentation Algorithms Using the Pareto Front M. Everingham et al.	-
	IV-49	On Performance Characterization and Optimization for Image Retrieval J. Vogel; B. Schiele	-

Friday 31st of May
11:00-12:30	Statistical Learning Chair: Tim Cootes & Cordelia Schmid		Palladium
	IV-67	Statistical Learning of Multi-View Face Detection S. Z. Li et al.	-
	IV-82	Dynamic Trees: Learning to Model Outdoor Scenes N. J. Adams; C. K. I. Williams	-
	IV-97	Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary P. Duygulu et al.	-
	IV-113	Learning a Sparse Representation for Object Detection S. Agarwal; D. Roth	-

Friday 31st of May
16:00-17:15	Texture, Shading and Colour Chair: Michael Black & Mads Nielsen		Palladium
	IV-793	What Are Textons? S. C. Zhu et al.	-
	IV-808	Bidirectional Texture Contrast Function S. C. Pont; J. J. Koenderink	-
	IV-823	Removing Shadows from Images G. Finlayson et al.	-