Spring 2006
CS 281b/ECE 281b: Advanced Topics in Computer Vision

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Instructor 

B. S. Manjunath, manj at ece. Rm 3157, Engineering I. Tel: 805.893.7112
Office hours: M 11am-12 noon, W 10-11am, or by appointment (or drop by and see if I'm available)

Meeting Times and Locations

Lecture:  Tues/Thurs 2:00pm - 3:50pm, PHELPS 1431

About the course:

This is an advanced graduate level course in computer vision. If you are new to computer vision, you may want to attend my morning lectures on computer vision for the undergraduate students (CS/ECE 181b). During this quarter, we will explore the following topics:

Discussions will be based on selected articles (recently published journal and conference articles). Grading will be based on class participation (10%), paper presentations (40%), final project (report+presentation) 50%. Students are encouraged to come up with project ideas that go beyond a simple implementation of an existing method. Evaluation of the projects will be based on novelty and final results.

READERS: Will present a brief report (10 mins) at the next class meeting and a brief written critique (suggested length: 3 pages) that will be posted on the web.

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Class Schedule
Date Paper Presenters Readers/Critique
April 13, 2006 Baker & Matthew, Lucs-Kanade 20 years on: A Unifying framework Marco Zuliani  
April 18, 2006 Geman & Geman, Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration of Images.    
April 20, 2006 Segmentation: Overview    
April 25, 2006 Segmentation (contd    
April 27, 2006

Spectral methods for Image Segmentation (3 papers: Normalized Cuts, segmentation using eigenvectors, factorization approach to grouping )

Luca Bertelli Ibrahim Khalil and Mike Quinn, critique
April 28, 2006
(FRIDAY CLASS, PHELPS 1425, 330PM)
Illusory/Salient Contour Shapes (3 papers: Segmentation of multiple salient closed contours, a model for illusory contours, emergent properties of illusory contour shape.) Nhat Vu Thomas Kuo and Ibrahim Khalil, critique
May 02, 2006 Markerless tracking Taehee Lee Chris Coffin and Luca Bertelli
critique
May 02, 2006 Factorization method for computing structure from motion Jonathon Ventura Mike Quinn and Nhat Vu
critique
May 04, 2006 Scale Invariant Features Mei-Chen Yeh Juriz Guzman and Jim Kleban
May 04, 2006 Efficient matching with local features Emily Moxley

Jon Ventura and Nhat Vu
critique

May 05, 2006 (FRIDAY)

flexible method for camera calibration, aligning sequences from multiple cameras, Collaborative approach to sensor calibration

Michael Quinn Taehee Lee and Anindya Sarkar
critique
May 09, 2006 Active contours without edges Mei-Hsuan Wu Jon Ventura and Joriz Guzman
critique
MAY 09, 2006 Matching widely separated views Jim Kleban

Anindya Sarkar and Emily Moxley
critiqe, slides

May 11, 2006 Appearence cloning (IJCV) Ariane Gravel Taehee Lee and Thomas Kuo
Critique
May 11, 2006 Video Epitomes (CVPR'05) Chris Coffin

Taehee Lee and Thomas Kuo
critique

May 12, 2006 RANSAC Dr. Charles Kenney  
May 18, 2006 3-D Object modeling (IJCV'06) Thomas Kuo Ariane Gravel and Amir Rahimi
critique
May 18, 2006

3-D Projective reconstructions

Provably convergent iterative methods, Self calibration of cameras, Recovering 3-D structure and motion

Ibrahim Khalil

Chris Coffin and Emily Moxley

critique

May 19, 2006 GUEST LECTURE: Level sets in Computer vision Professor Frederic Gibou  
May 23, 2006

Boosting image retrieval,

Rapid object detection using a boosted cascade of simple features,

A Decision-Theoretic Generalization of On-Line Learning

Anindya Sarkar and Amir R

Mei-Hsuan Wu and Jim Kleban

critique

May 23, 2006 Multiscale segmentation Joriz Guzman Ariane Gravel and Mei-Hsuan Wu
critique
May 25, 2006

GUEST LECTURE:

Visual control of action: Importance of optic flow and 3-D representation

Professor Jack Loomis, Psychology Department, UCSB  
June 1, 2006 MPEG-7 (5MB, PPT file) Powerpoint presentation  

 

PROJECTS

Anindya Sarkar and Amir Rehami: " Object class recognition by unsupervised scale-invariant learning," by Fergus, Perona and Zisserman, CVPR 2003. Objective: to implement and evaluate the basic method(s) described in the paper. Test data: obtained from the web.

Emily Moxley: Improved homogeneous texture descriptor

Mei-Chen Yeh: Face recognition

Taehee Lee: 3D reconstruction from videos for augmented reality applications.

Joriz Guzman and Jim Kleban: Automatic stereo background subtraction for interactive applications.

Michael Quinn: Calibration issues in a distributed camera networks

Luca Bartelli and Ibrahim Khalil: 3D reconstruction

Thomas Kuo: EMD for similarity search and retrieval evaluations

Nhat Vu: Salient contour extraction, Segmentation of multiple salient closed contours.

Ariane Gravel and Christopher Coffin, Camera pose estimation and object reconstruction.

Jon Ventura, Virtual walk-through using video