[CSE730300] Computer Vision

Instructor      [E&I Bldg. Room #310-2] Seungkyu Lee, Email: seungkyu(at)khu.ac.kr
Reference Books      "Computer Vision: Algorithms and Applications" by Richard Szeliski
"Introductory Techniques for 3D Computer Vision"
"An Introduction to 3D Computer Vision Techniques and Algorithms" by Boguslaw Cyganek, J. Paul Siebert
Additional Materials      Matlab Tutorial #1
Evaluation      Final project. 50%, Two take-home exams. 40% (20% each), Attendance 10%


All Scores


Take-home Exam #1 Score

Course Schedule
Week 1   Sep. 1
Sep. 3
   Intro. to Computer Vision Lecture Slide #1
Camera, geometry and photometry Lecture Slide #2
Week 2   Sep. 8
Sep. 10
   No Calss (Holiday)
No Calss (Holiday)
Week 3   Sep. 15
Sep. 17
   Intensity Surfaces, Gradients and Linear Operators Lecture Slide #3
Edge Detection Lecture Slide #4
Week 4   Sep. 22
Sep. 24
   LoG, Template Matching and Corner Lecture Slide #5
Correspondence Matching Lecture Slide #6
Week 5   Sep. 29
Oct. 1
   Camera Model & Stereo Lecture Slide #7 Take-home Exam #1 img1 img2
Stereo using Dynamic Programming Lecture Slide #8
Week 6   Oct. 6
Oct. 8
   Parameter estimation & RANSAC & Hough Lecture Slide #9
Active Contours Lecture Slide #10
Week 7   Oct. 13
Oct. 15
   Image Mappings Lecture Slide #11
N/A
Week 8   Oct. 20
Oct. 22
   Homography, Mosaicing and Stabilization Lecture Slide #12
Video Change Detection Lecture Slide #13
Week 9   Oct. 27
Oct. 29
   Visual Tracking Lecture Slide #14
Visual Tracking (Cont.) Lecture Slide #15
Week 10   Nov. 3
Nov. 5
   Shape Matching Lecture Slide #16 Take-home Exam #2 Images
Local Feature Point Lecture Slide #17
Week 11   Nov. 10
Nov. 12
   Pattern Detection Lecture Slide #18
Final Project Description Lecture Slide #19
Week 12   Nov. 17
Nov. 19
   Object Recognition Lecture Slide #20
Object Recog.(cont.) Lecture Slide #21 Final Project Proposal Due (by Nov.21)
Week 13   Nov. 24
Nov. 26
   Scene Understanding Lecture Slide #22
Structure From Motion Lecture Slide #23
Week 14   Dec. 1
Dec. 3
   3D Reconstruction
3D Reconstruction Lecture Slide #24
Week 15   Dec. 8
Dec. 10
   3D Reconstruction Lecture Slide #25
Vision for Graphics Lecture Slide #26 Final Project Due (by Dec. 12, 23:59)
Week 16   Dec. 15   Final Project Evaluations


[ Final Term Project Materials ]

Problem Instruction

-obejct recognition data set
-pattern detection data set
-shape matching data set
-tracking data set




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