Computer Vision I
Computer Vision I

Computer Vision (I) 2001Fall
2:10-5:00 pm., Tuesday
Office Hours:9AM-11AM, Tuesday
TA Time: 5PM-6PM, Tuesday

Instructor: Professor Chiou-Shann Fuh fuh@csie.ntu.edu.tw
TA: Jeng-sheng Yeh jsyeh@cmlab.csie.ntu.edu.tw
FAQ (New)
Lecture Notes
(Chap 1)
(Chap 2)
(Chap 3)
(Chap 4)
(Chap 5)
(Chap 6)
(Chap 7)
(Chap 8) (Chap 9) (Chap 10) (Chap 11)
Chinese big5 version 中文版 (will not update frequently)

Created: 19th Aug. 2001. Last updated: 21th Feb. 2001. by Jeng-sheng Yeh Access times:

[ About Computer Vision I]

Course Number: 526 U1090
Credits: 3
Time: Tuesday 6,7,8 (2:10PM-5:00PM)
Classroom: New CSIE Classroom 309
Classification: Elective for junior, senior, and graduate students
Prerequisite: None
Instructor: Chiou-Shann Fuh
Office: New Computer Science and Information Engineering Room 327
Office Hours: Tuesday 9AM-11AM
Objective: To learn computer and robot vision through extensive course projects.
R.M. Haralick and L.G. Shapiro, Computer and Robot Vision, Vol. I, Addison Wesley, MA, 1992.
L.G. Shapiro and G.C. Stockman, Computer Vision, Prentice-Hall, NJ, 2001.
R. Jain, R. Kasturi, and B.G. Schunck, Machine Vision, McGraw-Hill, New York, 1995.
R.C. Gonzalez and R.E. Woods, Digital Image Processing, Addison Wesley, MA, 1992.

Mid-term Exam
Date: 27th Nov. 2001, 2pm-5pm
Range: Chapter1-Chapter7
Type: word explain (2pt*50) (Old Mid-term Exam Sheets 考古題
1993 1994 1995 1996 1997 1998(Important!!) 2000(Important!!) there is no 1999 provided )
Final Exam
Date: 15th Jan. 2002, 2pm-5pm
Range: Chapter8-Chapter11
Type: ??? (Old Final Exam Sheets 考古題, 應該沒什麼用!
1993 1994 1995 1996 1997 )
Dear T,
   i am very sorry that i didn't have any information about
computer vision final exam. i had asked professor fuh,
but he didn't tell me anything. i didn't got any old
final exam sheets, too. and i didn't got the
exam sheet this year. maybe professor fuh will handle
final exam this year.

jsyeh@cmlab, VisionTA

ps. it is my mistake. it should be ch11.

> Dear TA, about final exam,
> Range: Chapter8-Chapter13
> 考試範圍到ch13? 不是到ch11?
> 另外可否請問一下也是考50個名詞解釋嗎?
> T
Homework#1: use hvision library and tk
Homework#2: binarize, histogram, and connected component
Homework#3: histogram equalization
Homework#4: dilation, eroation, opening, closing and hit-and-miss (binary)
Homework#5: dilation, eroation, dilation, opening, closing (gray scale)
Homework#6: Yokoi connectivity number
Homework#7: thinned image
Homework#8: noise and filters
Homework#9: gradient operators
Homework#10: zero-crossing operators

Grading Policy: Homework: 30%, Mid-term: 30%, Final: 40%

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