Readings refer to:
- Forsyth and Ponce (F&P): Computer Vision: Algorithms and Applications by Richard Szeliski
Week 1 – 9/3/12
- Tuesday
- Topics:
- Introduction to course content and overview of the field of computer vision.
- Review schedule, grading policies and procedures.
- Reading:
- Course Syllabus
- Introduction to Computer Vision
- Szeliski chapter 1
- Notes:Lecture 1 notes
- Other Material:
- Topics:
- Thursday
- Topic: Cameras, images, image representations, color images.
- Reading:
- F&P 1.3, 1.4, 6 or Szeliski 2.3
- Background on Images and Imaging
- Notes:Cameras and Imaging
- Other Material:
- Homework: Complete either the Python or Matlab version of the assigment here
Week 2 – 9/10/12
- Topic: Image Processing
- Reading:
- F&P Chapter 7, Szeliski Chapter 3
- Image Processing
- Notes: Filtering Notes
- Other Material: Python filters demo
- Homework:
Week 3 – 9/17/12
- Topic: Feature detection and representation
- Reading: Features
- F&P Chap. 8, Szeliski Chapter 4
- Image Processing
- Notes: Edge Detection Notes
Week 4 – 9/24/12
- Topic: Feature Detection Continued
- Reading: Szeliski Chapter 6.1
- Notes: Edge Detection Notes
- Other Material:
Week 5 – 10/1/12
- Topic: Projection Geometry, Transforms, and Homographies.
- Reading: Szeliski 2.1, 6.3
- Notes:slides, on board notes and
Week 6 – 10/8/12
- Topic: Calibration
- Reading: Szeliski 6.3, A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000.
- October 14th slides: Ioana’s lecture on Camera Calibration
- Other Material: The Matlab Camera Calibration Toolkit
- Notes:Calibration Notes
- Homework
Week 7 – 10/15/12
- Topic: Stereo and Matching
- Reading: FP 11, Computational Stereo, Szeliski Chapter 11
- Notes:
- Other Material:
- Myron Z. Brown, Darius Burschka, and Gregory D. Hager. Advances in Computational Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8):993-1008, 2003.
- D. Scharstein and R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47(1/2/3):7-42, April-June 2002.
- Notes on Estimating a Homography (UCSD)
Week 8 – 10/22/12
- Topic: Epipolar Geometry, Rectification, Stereo
- Reading:, FP 10.1.3, 12.3, 12.4
- Notes: Epipolar geometry and Stereo notes More Stereo and Epipolar Geometry Notes
- Other Material:
Week 9 – 10/29/12
- Topic: Stereo and Multiview reconstruction
- Reading:Szeliski Chapter 7.1, 7.2, 7.4, 11.1, 11.3
- Notes:Epipolar geometry and Stereo notes
Week 10 – 11/5/12
- Tuesday: EXAM — EXAM — EXAM — EXAM
- Other Material: Here is a short example of how the exam will be structured.
- Thursday
- Reading:Szeliski 7.3 (Factorization approaches to multiview reconstruction)
- Notes:Multiview reconstruction notes
- Other Material:
Week 11 – 11/12/12
- Tuesday
- Topic: Object Recognition
- Notes: Object Recognition: Introduction
- Reading: Szeliski chapter 14
- Thursday
Week 12 and 13 11/19/12
- Topic: Motion
- Reading: Szeliski 8.4
- Motion Introduction
- Burschka lecture
Week 14
- Segmentation and wrapup
- Lecture 1 Notes and Lecture 2 Notes