DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
UNIVERSITY OF CALIFORNIA, SAN DIEGO
CSE 252B: Computer Vision II
Spring 2007
Instructor: Serge Belongie , Assistant Professor, EBU3B 4118. Office Hours: WTh 3:30-4:30pm.
Note: when emailing the instructor with questions about the class, please put "cse252b" in the subject line or use the following address:
sjb+cse252b
cs.ucsd.edu
Class section id for CSE252B: #588814.
Lecture: TuTh 2:00-3:20pm, Center Hall 201.
Class mailing list: https://csemail.ucsd.edu/mailman/listinfo/cse252b .
Topics to be Covered:
Geometric models of image formation. Projective Geometry. Interest point detection. Robust feature matching across wide baselines. Calibrated and uncalibrated reconstruction of 3D models of objects from 2D images. Construction of photo-mosaics. Camera calibration. Optimal camera pose and structure estimation.
Prerequisites: linear algebra, calculus, probability and statistics.
This course makes extensive use of Matlab. Click here for
information on Matlab. Assignments should be prepared using
LaTeX . If you are not familiar with LaTeX , click here .
Here are the Grading and Course Policies .
Handouts/Readings:
Introducing Matlab [html ]
MaSKS Ch. 1-3
HZ Sec. 2.0-2.4 [pdf ]
Assignment #1 [pdf ]MaSKS Sec. 5.1, 5.2.1-5.2.2, 5.3
A computer algorithm for reconstructing a scene from two projections (Longuet-Higgins ) [pdf ]
In Defense of the Eight Point Algorithm (Hartley ) [pdf ]
Perspective Transform Estimation (Wren ) [html ]
A Plane Measuring Device (Criminisi, Reid and Zisserman ) [html ] [ps.zip ]
Algorithms for Plane-Based Pose Estimation (Sturm ) [pdf ]
Assignment #2 [pdf ] [files ]Metric Rectification for Perspective Images of Planes (Liebowitz and Zisserman ) [pdf ]
Autocalibration from Planar Scenes (Triggs ) [pdf ]
MaSKS Ch. 6 and Appendix 6.A
HZ Sec. 2.7, 3.2.1, 3.2.3, 3.5-3.7, 8.5 [pdf ]
Motion and structure from point correspondences with error estimation: planar surfaces (Weng, Ahuja and Huang ) [pdf ]
Assignment #3 [pdf ] [files ]Self Calibration from Multiple Views with a Rotating Camera (Hartley ) [pdf ]
Self-calibration of rotating and zooming cameras (de Agapito, Hayman and Reid ) [pdf ]
MaSKS Sec. 5.2.3
MaSKS Ch. 4
A Fast Operator for Detection and Precise Location of Distinct Points, Corners and Centres of Circular Features (Förstner and Gülch ) [pdf ]
Junction detection with automatic selection of detection scales and localization scales (Lindeberg ) [ps.Z ]
Feature Based Methods for Structure and Motion Estimation (Torr and Zisserman ) [pdf ]
The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix (Torr and Murray ) [pdf ]
Assignment #4 [pdf ] [files ] [bonus photos ]SIFT Keypoint Detector (Lowe ) [website ] [pdf ]
MSER paper (Matas et al. ) [pdf ]
An iterative image registration technique with an application to stereo vision (Lucas and Kanade ) [pdf ]
Good Features to Track (Shi and Tomasi ) [ps ] [pdf ] Tech Report [ps ]
Making Good Features to Track Better (Tommasini et al. ) [pdf ]
Hitchcock Zoom effect (Wikipedia ) [www ]
Shape and Motion from Image Streams: A Factorization Method (Tomasi and Kanade ) [pdf ]
Affine Structure from Motion (Koenderink and van Doorn ) [pdf ]
Final Exam [pdf ]
Lecture Topics:
Lecture 1 (Apr. 3): Geometry of Image Formation, Homogeneous Coordinates
Lecture 2 (Apr. 5): Homogeneous Linear Least Squares Problems, Two View Geometry
Lecture 3 (Apr. 10): Epipolar Geometry, Calibrated Reconstruction
Lecture 4 (Apr. 12): Planar Scenes and Homography
Lecture 5 (Apr. 17): Relationships between the Homography and the Essential Matrix
Lecture 6 (Apr. 19): Stratification in 2D: from Projective to Affine
Lecture 7 (Apr. 24): Stratification in 2D: from Affine to Euclidean
Lecture 8 (Apr. 26): Uncalibrated Epipolar Geometry
Lecture 8 (May 1): Projective Reconstruction
Lecture 9 (May 3): Affine and Euclidean Reconstruction
Lecture 10 (May 8): Camera Calibration
Lecture 11 (May 10): Optimal Pose and Structure
Prof. Belongie out of town May 15 for NSF IGERT Meeting in Washington, DC. Fred will run a showing of the instructional DVD Computer Vision: Fact and Fiction Lecture 12 (May 17): Review Q&A Session
Lecture 13 (May 22): Interest Point Detection
Lecture 14 (May 24): Robust Feature Matching
Lecture 15 (May 29): Feature Tracking and Optical Flow
Lecture 16 (May 31): Orthographic Structure from Motion using Tracked Points
no class June 5 Lecture 17 (June 8): Review for Final Exam
Links:
Required textbook:
Relevant non-required textbooks:
Multiple View Geometry in Computer Vision, 2nd edition by Hartley & ZissermanComputer Vision -- A Modern Approach by Forsyth and PonceIntroductory Techniques for 3-D Computer Vision by Trucco & VerriThe Geometry of Multiple Images by Faugeras, Luong, and PapadopouloVision Science: Photons to Phenomenology by Stephen E. Palmer
Handy Math reference:
MathWorld
Most recently updated on March 29, 2007 by Serge Belongie.
