Computer Graphics and Image Processing

Graduate Course in CIS

CIS 601.001 – Fall 2004

Longin Jan Latecki, latecki@temple.edu

 

 

syllabus                    concepts AND TECHNIQUES                    PROJECT TOPICS

 

The chapter references are to the book 
Gonzalez, Woods, Eddins. Digital Image Processing Using MATLAB. Prentice Hall, 2004.

Week 1: 08/30: Introduction to Computer Vision and Intelligent Systems
Geometric Transformations: 2D
Homework 1 (deadline 09/20): Study Chapter 2
Generate an avi movie using geometric transformations. Example1. Example2.
Link to the movie projects.
Week 2: 09/13: Geometric Transformations: 3D, Projections and Intensity transforms (Ch. 3)
Week 3:  09/20Spatial filtering (Ch. 3)
Week 4: 09/27: Image Similarity  
Week 5: 10/04: Color (Ch. 6), Texture (11.4), PCA by Tim Marks and demo program (11.5)
Week 6: 10/11: Image Segmentation (Ch. 10), Clustering, Homework7 (will be graded)
Week 7: 10/18: Image Segmentation (continuation)
Week 8: 10/25: Template Matching, Digital Topology
Week 9: 11/01: Shape Descriptors (Ch. 11), deadline for project proposals
Week 10: 11/08: Repetition: Sample Questions Video processing
Week 11: 11/15: Midterm Exam
Week 12: 11/22:  
Manjit C. Image segmentation by clustering  (Mahalanobis distance in Lab)
Dhiraj S. Image segmentation by clustering  (texture with moments) 
Vashuda A.
Image segmentation by clustering (texture with PCA)
Thomas G. Wavelet Compression
Week 13: 11/29:  
Sumit B. Background learning and letter detection (texture with PCA)
Deguang Y. Background learning and letter detection (texture with PCA)
Bo H. Independent Component Analysis
Week 14: 12/06:
Jayashree R. Detection of lines and ellipses
Hemant V. Detection of coins
Guoqiang S. Independent Component Analysis
Week 15: 12/13:
Thomas M. Object recognition
Joseph J. Steganography
Archana G. Range image processing
Andrew G. Range image processing