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Advanced Computer Vision 4003-558 / 4005-758 |
WinterQuarter 2010_2 |
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Dr. Roger S. Gaborski |
Tuesday / Thursday |
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Matlab
resources: |
You can access MATLAB on the CS computers If you have any problems running Matlab contact the CS Admin Office |
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Policies |
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Advanced Computer Vision is primarily a project
based course. During the first half of the course classroom activities
will alternate between class lectures, videos and group discussions.
Typically, a lecture/video will be presented one class period and
a reading and programming assignment will be assigned for the next
class. Each student will discuss their results in class.
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| 2. There
are weekly 'In Class Exercises'. The exercises are not graded. |
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Course Grading Policies |
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Dates of quizzes are listed on the course calendar.Missed quizzes cannot be made up |
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If you miss an quiz for any reason
you must notify me by email before class.
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The course grade is a function of your quiz grades,homework and project grade |
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Email all course
material to rsg.advcv@gmail.com |
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Activity |
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| Quizzes and Exams |
15% |
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Homework |
25% |
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Project Report and Presentations |
60%* |
*Different expectations
and grading standards will be applied to undergraduate and graduate projects.
COURSE
CALENDAR SUBJECT TO CHANGE - CHECK
FOR UPDATES
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WEEK |
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THURSDAY |
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| WEEK 1 11/30&12/2 |
Lecture 1 Topic: Advance Computer Vision: Interest Points Purple Flower Image HW#1 see slides |
Lecture 2 Topic: Interest Points and Patch Modeling Textbook: Chapter 12 HW#2 Assigned, Flower2A.jpg HW#1 Due at noon. email code, and writeup to course account |
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| WEEK 2 12/7&12/9 |
Lecture 3 Topic: Multiresolution Feature, SIFT Feature Matching Trainable visual models for object classification http://videolectures.net/lmcv04_zisserman_tvmoc/ Local Features http://videolectures.net/mcvc08_gousseau_cmlf/ HW#2 Due at noon Project Description |
Lecture 4 Topic: and Principal Component Analysis and Self Organizing Maps - Feature Clustering andFace Classification The Future of Image Search author: Jitendra Malik, UC Berkeley, University of California, http://videolectures.net/kdd08_malik_fis/ Formation of Project Teams Project Team Formation due at 10:00am |
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| WEEK 3 12/14&12/16 |
Lecture 5
Motion Analysis frame10.jpg frame11.jpg HW#3 in Lecture Notes, Due January 6th, 2011 |
Lecture 6 EXAM 1 |
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| WEEK 4 1/4&1/6 |
Lecture 7
Optical Flow : |
Lecture 8 Topic:Project Presentation Outlines due from each team (10 min) HW#3 Due at noon |
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| WEEK 5 1/11&1/13 |
INDIVIDUAL
TEAM MEETINGS Rm 3400 :Topic: First Project Activity Report Teams 1,2 and 3 noon-2:00pm |
INDIVIDUAL
TEAM MEETINGS Rm 3400 Topic: First Project Activity Report Teams 4 and 5 noon-2:00pm |
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| WEEK 6 1/18&1/20 |
INDIVIDUAL
TEAM MEETINGS Rm 3400 :Topic: Activity Report Teams 1,2 and 3 noon-2:00pm |
INDIVIDUAL
TEAM MEETINGS Rm 3400 Topic:Activity Report Teams 4 and 5 noon-2:00pm |
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| WEEK 7 1/25&1/27 |
INDIVIDUAL
TEAM MEETINGS Rm 3400 :Topic: Activity Report Teams 1,2 and 3 noon-2:00pm |
INDIVIDUAL
TEAM MEETINGS Rm 3400 Topic: Activity Report Teams 4 and 5 noon-2:00pm |
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| WEEK 8 2/1&2/3 |
PINDIVIDUAL
TEAM MEETINGS Rm 3400 :Topic: Activity Report Teams 1,2 and 3 noon-2:00pm |
INDIVIDUAL
TEAM MEETINGS Rm 3400 Topic: Activity Report Teams 4 and 5 noon-2:00pm |
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| WEEK 9 2/8&2/10 |
Project Presentation
Rm 2690 Team 1 Team 2 |
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| WEEK 10 2/15&2/17 |
Project Presentation
Rm 2690 Team 3 Team 4 |
Project Presentation
Rm 2690 Team 5 PROJECT REPORTS DUE AT 8AM |
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FINALS WEEK |
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*In Class Exercises are zero credit group activities
https://eee.uci.edu/08f/35595/lectureslides/cs216_lecture11.pdf
Download
images here: Flags
AudiCoupe
PinkHotel
CIS_Building
StairsDark
Frog Tunnel yellowSpider1
RedCar
boxster5
RedFlower
WhiteFlower
Flag1
Flag1noise DarkTree
DarkLog
brandyGrass
image_A.bmp image_B.bmp image_C.bmp
OrangeBuilding
Video Data:
Office1.avi
people01_08_05.avi
people01_08_05A.avi
people01_09_05A.avi
peopleVan.avi
peopleVanFB2.avi
video link
jewelry cabinet doors
secret compartment1.jpg
secret compartment2.jpg
secret compartment3.jpg
secret compartment4.jpg
