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[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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© 2014 Kyung Hee University, Department of Computer Engineering
1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do
446-701, Republic of Korea