



This course provides an introduction to image processing and computer vision. We start from the basics of image formation (cameras, light, color), then cover the fundamental concepts in 2D signal processing (2D convolutions, Fourier transforms, etc) and lowlevel vision (edges, texture), and finally move on to higher level problems such as motion analysis, image segmentation, image classification and retrieval. 

Lectures:  TuTh, 3:30p4:50p, WLH2208  
Instructor:  Nuno Vasconcelos  
n u n o @ e c e . u c s d . e d u, EBU15602  
office hours: Friday, 9:30a10:30a  
Teaching Assistant:  Hamed MasnadiShirazi, h m a s n a d i @ u c s d . e d u  
Office hours:  Wednesday, 3:00p4:30p, EBU15706  
Text:  Computer Vision: a modern approach  
D. Forsyth and J. Ponce, Prentice Hall, 2003  
Secondary text: 
Two Dimensional Signal and Image Processing Jae Lim, Prentice Hall, 1990 

Syllabus:  [ps, pdf]  
Homework:  Problem set 1 [ps, pdf, data]  
Problem set 2 [ps, pdf, data]  
Problem set 3 [ps, pdf, data]  
Problem set 4 [ps, pdf, data]  
Problem set 5 [ps, pdf, data]  
Problem set 6 [ps, pdf]  
Readings:  Lecture 1: introduction [slides, videos]  
Lecture 2: cameras (sections 11.2.2, 1.3, F&P) [slides, videos]  
Lecture 3: radiometry (chapter 4, F&P) [slides]  
Lecture 4: radiometry, light sources (sections 5.15.2.2, 5.3.1, F&P) [slides]  
Lecture 5: color (sections 6.16.3.3, F&P)[slides]  
Lecture 6: 2D DSP (chapter 1, Lim; chapter 7, F&P)[slides]  
Lecture 7: 2D Fourier transforms (chapter 1, Lim; chapter 7, F&P)[slides]  
Lecture 8: filtering, smoothing and noise (chapter 8, F&P) [slides]  
Lecture 9: edges (chapter 8, F&P) [slides]  
Lecture 10: edges, interpolation, templates (chapter 8, F&P) [slides]  
Lecture 11: midterm review [problems]  
Lecture 12: midterm  
Lecture 13: 2D DFT (chapter 3, Lim; chapter 7, F&P) [slides]  
Lecture 14: DFT (chapter 3, Lim) [slides]  
Lecture 15: DCT (chapter 3, Lim) [slides]  
Lecture 16: scale, pyramids, and texture (chapter 9, F&P) [slides]  
Lecture 17: least squares [slides] (section 15.2, F&P; section 3.3 Strang)  
Lecture 18: motion, least squares [slides] (paper by Lucas and Kanade)  
Lecture 19: JPEG [slides]  
Lecture 20: MPEG [slides]  