DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
UNIVERSITY OF CALIFORNIA, SAN DIEGO
CSE 252: Computer Vision
Instructor: Serge Belongie, Assistant Professor, AP&M room
4832. Office Hours: MTu 1:30pm-2:30pm
Class section id for CSE252: #442306.
Lecture: TuTh 3:55pm-5:15pm, 207 Center Hall.
Topics to be Covered:
1. mathematical foundations
2. cameras & image formation
5. feature extraction
7. image segmentation
8. object recognition
Prerequisites: linear algebra, calculus, probability and statistics.
Background in signal/image processing is helpful but not required.
Grading and Course Policies
This course makes extensive use of Matlab. Click here for
information on Matlab.
- Assignment #0 (Introducing Matlab) [txt]
- Computing Rotations in 3D [html]
- The Interpretation of a Moving Retinal Image (Longuet-Higgins and Prazdny) [pdf]
- Assignment #1 [pdf][ps]
- Reconstruction from Two Calibrated Views (Ch.5 of Ma, Soatto, Kosecka and Sastry) [ps.gz]
- A computer algorithm for reconstructing a scene from two projections (Longuet-Higgins) [pdf]
- In Defense of the Eight Point Algorithm (Hartley) [pdf]
- A Fast Operator for Detection and Precise Location of Distinct Points, Corners and Centres of Circular Features (Förstner and Gülch) [pdf]
- Notes on Corner Detection [ps]
- Useful Matrix Formulae (Roweis) [ps.gz][pdf]
- Junction detection with automatic selection of detection scales and localization scales (Lindeberg) [ps.Z]
- Assignment #2 [pdf][ps][files]
- An Algorithm for Associating the Features of Two Images (Scott and Longuet-Higgins) [pdf]
- Uncalibrated Stereo Correspondence by Singular Value Decomposition (Pilu) [html]
- New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence (Gold, Rangarajan, et al.) [ps.gz]
- Stereopsis (Ch.13 of Forsyth and Ponce) [pdf]
- RANSAC paper (Fischler and Bolles) [pdf]
- The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix (Torr and Murray) [pdf]
- Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming (Ohta and Kanade) [pdf]
- Depth from edge and intensity based stereo (Baker and Binford) [pdf]
- Computational framework for determining stereo correspondence from a set of linear spatial filters (Jones and Malik) [pdf]
- The Design and Use of Steerable Filters (Freeman and
- Linear scale-space: I. Basic theory, II. Early visual operations (Lindeberg and ter Haar Romeny) [html]
- Deformable kernels for early vision (Perona) [ps.Z][pdf]
- Texture (Ch.11 of Forsyth and Ponce) [pdf]
- Preattentive texture discrimination with early vision mechanisms (Malik and Perona) [pdf]
- Non-parametric similarity measures for unsupervised texture segmentation and image retrieval (Puzicha et al.) [ps.gz]
- Pyramid Based Texture Analysis/Synthesis (Heeger & Bergen) [pdf]
- Assignment #3 [pdf][ps][files]
- Principles of Global Illumination (Ch.2 of Sillion and Puech) [pdf]
- Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction (Zickler, Belhumeur and Kriegman) [pdf]
- An iterative image registration technique with an application to stereo vision (Lucas and Kanade) [pdf]
- Good Features to Track (Shi and Tomasi) [html]
- The Principle of Least Action (Book 2, Ch.19 of Feynman, Leighton and Sands) [pdf]
- Motion Field and Optical Flow (Ch.12 + Appendix A.6 of Horn) [pdf]
- Principal warps: thin-plate splines and the decomposition of deformations (Bookstein) [pdf]
- Computational vision and regularization theory (Poggio, Torre and Koch) [pdf]
- Regularization theory and neural networks architectures. (Girosi, Jones and Poggio) [ps.gz]
- Reconstructing a Smooth Surface (Sec. 4.4 of Hertz, Krogh and Palmer) [pdf]
- Laws of Organization in Perceptual Forms (Wertheimer) [html]
- Segmentation using clustering methods (Ch.16 of Forsyth and Ponce) [pdf]
- A Database of Human Segmented Natural Images and its Application ... (Martin, Fowlkes, Tal and Malik) [pdf]
- Reversible Markov Chains and Random Walks on Graphs (Aldous and Fill) [pdf]
- Normalized cuts and image segmentation (Shi and Malik) [pdf]
- A Random Walks View of Spectral Segmentation (Meila and Shi) [ps]
- Notes on Spectral Partitioning (Demmel) [html]
- Assignment #4 [pdf][ps][files]
- Snakes: active contour models (Kass, Witkin and Terzopoulos) [pdf]
- The representation and matching of pictorial structures (Fischler and Elschlager) [pdf]
- Deformable templates for face recognition (Yuille) [pdf]
- Shape Matching and Object Recognition Using Shape Contexts (Belongie, Malik and Puzicha) [pdf]
- Geometric Hashing: An Overview (Wolfson and Rigoutsos) [pdf]
- Method and Means for Recognizing Complex Patterns (Hough) [pdf]
- Generalizing the Hough Transform to Detect Arbitrary Shapes (Ballard) [pdf]
- Efficient Pose Clustering Using a Randomized Algorithm (Olson) [pdf]
- CONDENSATION: Conditional Density Propagation for Visual Tracking (Isard and Blake) [pdf]
- Eigenfaces for Recognition (Turk and Pentland) [pdf]
- Bayesian Face Recognition (Moghaddam, Jebara and Pentland) [pdf]
- Recognition by linear combinations of models (Ullman and Basri) [pdf]
- Shape and Motion from Image Streams: A Factorization Method (Tomasi and Kanade) [pdf]
- Recognition by Relations between Templates (Ch.22 of Forsyth and Ponce) [pdf]
- Final Exam [pdf][ps]
- April 2: Perspective Projection, Rigid Body Transformations.
- April 4: Equations of the Motion Field, Parallax, Time-to-Collision.
- April 9: Geometry of Stereopsis, Epipolar Constraint.
- April 11: 3D Reconstruction, Plane-to-Plane Homography, Interest Point Detection.
- April 16: Corner Detection, Windowed Image Second Moment Matrix, Scale Selection.
- April 18: The Correspondence Problem, Sparse Stereo Matching.
- April 23: Dense Stereo Matching: Correlation- and Filter-Based
- April 25: Edge Detection, Quadrature Filters, Steerable Filters.
- April 30: Texture Analysis and Recognition.
- May 2: Photometry, Shape from Shading.
- May 7: Measuring Optical Flow.
- May 9: Models of Planar Transformation.
- May 14: Perceptual Organization, Gestalt Cues for Grouping, Normalized Cut.
- May 16: Normalized Cut (Continued), Multiway Partitioning.
- May 21: Feature-based Methods for Recognition.
- May 23: Appearance-based Methods for Recognition.
- May 28: (Jianbo Shi guest
lecture) Detecting and Tracking Articulated Objects.
- May 30: (Jochen Triesch guest lecture) Architectures for Object Recognition, Elastic Graph Matching.
- June 4: Highlights from ECCV2002.
- June 6: Summary and Review for Final Exam.
Events of Interest:
- Henrik Wann Jensen, May 3, 2002, Friday 11:00am to 12:00pm, AP&M 4301, Rendering Translucent Materials.
- Christoph von der Malsburg, 4/10/02 at 5:00 PM, CSB 003,
Learning Visual Recognition and Imitation.
- Joachim Denzler, Tuesday, April 9, 2002 NOON, CSB 003, Optimal Active Vision for Object Recognition.
- Weekly AI Seminar Mondays 12:10pm-1:10pm.
Relevant non-required textbooks:
Computer Vision -- A Modern Approach by Forsyth and Ponce
Handy Math reference:
Vision Science: Photons to Phenomenology by Stephen E. Palmer
Most recently updated on Apr. 2, 2002 by Serge Belongie.