Computer Vision, Winter 2013

Computer Vision

Winter 2013

Overview

Introduction to techniques in computer vision, with emphasis on fundamental principles and efficient algorithms. Topics include: digital image formation and processing; detection and analysis of visual features; representation of two- and three-dimensional shape; recovery of 3D information from images and video; analysis of motion. Applications covered in depth include stereo, structure from motion, segmentation, instance and category level object detection and recognition.

General information

Lecture: Tuesday and Thursday 10:30 - 11:50
Room: TTIC 530 (6045 S. Kenwood, 5th floor)

Instructor: Raquel Urtasun
E -mail: rurtasun@ttic.edu

TA: TBD

Grading: exam, weakly exercises (percentage TBD)

Syllabus

  1. Image formation, camera models and geometry
  2. Digital image formation, color and compression
  3. Edge detection and relevant signal processing
  4. Hough transform and its variants
  5. Features: interest point operators, descriptors, and matching
  6. Stereo and multi-view geometry and reconstruction
  7. Camera calibration
  8. Structure from motion
  9. Shape-from-X (in particular shape from shading)
  10. 2D shapes and contours: representation, analysis and recognition
  11. Tracking

Schedule

Date Topic Slides Reading Exercises
Jan 8 Introduction intro

Chapter 1 of R. Szeliski book

 

Jan 10 Image Formation and Filtering formation and filtering

Chapter 2 and 3 of R. Szeliski book;

 

Jan 15 Image Filtering and Other Transformations filtering and transformations

Chapter 2 and 3 of R. Szeliski book;

Ex1: filtering, due Friday January 25 at noon, Template
Jan 17 Image Features image features

Chapter 4 of R. Szeliski book;

 

Jan 22 Image Alignment image features and alignment I

Chapter 3, 4 and 6 of R. Szeliski book;

 

Jan 24 Robust Image Alignment and Cameras image alignment II

Chapter 2, 3, 4 and 6 of R. Szeliski book;

 

Jan 29 Robust Image Alignment and Cameras Robust alignment and cameras

Chapter 2, 3, 4 and 6 of R. Szeliski book;

Ex2: features and image alignment, due Friday Feb 8 at noon
Feb 5 Panoramas panoramas

Chapter 9 of R. Szeliski book;

 

Feb 7 Camera Calibration, 3D alignment and stereo calibration

Chapter 6 and 11 of R. Szeliski book;

 

Feb 12 Tracking (by Marcus Brubaker) tracking

 

 

Feb 14 Tracking (by Marcus Brubaker) tracking

 

 

Feb 19 Stereo (by Sanja Fidler) stereo

Chapter 11 of R. Szeliski book;

Ex3: tracking, due Friday Feb 25 at noon
Feb 21 Stereo and global minimization global minimization

 

 

Feb 26 Global minimization global minimization

 

 

Feb 28 Minimization / Invited lecture global minimization and slanted plane

 

 

March 5 Global minimization and plane MRFs global minimization and slanted plane

 

 

March 7 Plane MRFs for stereo, tracking and grouping stereo, tracking and grouping

 

 

March 12 Grouping and structure from motion grouping and structure from motion

 

Ex4: Grouping and structure from motion, due Tuesday March 19 at noon
March 14 Factorization and Optical Flow factorization and flow