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Introduction to Computer Vision 4003-457 / 405-757 |
Fall Quarter 2007_1 |
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Dr. Roger S. Gaborski Teaching Assistant: – Office Hours: TBD |
Tuesday / Thursday 10:00am –
11:50am |
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Recommended
Textbook: Digital Image Processing
using MATLAB |
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Matlab
resources: |
You can access MATLAB on the CS computers
by executing /usr/local/matlab/bin/matlab,
or adding /usr/local/matlab/bin to your
PATH, then run matlab. If
you have any problems running Matlab contact
the CS Admin Office |
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Homework Policies |
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1. There are
two types of homework assignments: |
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2. Homework that is graded (type 1a described above) must be done individually unless specifically stated on the homework assignment. Students who do not follow this policy will received a zero for the first offense and a 'course homework grade' of zero if there is a second offense. |
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3. Homework assignments are due on their due date listed on the course calendar below at the start of class. No late homework is accepted (No exceptions). |
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4. One homework grade will be dropped in the calculation of the course homework grade. |
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Course Grading Policies |
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Dates of exams are listed on the course calendar |
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If you will miss a quiz for any reason you must
notify me by email before class. |
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The final course grade is a function of your homework grade, quiz grades, final grade and project grade (if you are registered for 4005-757) |
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The final exam is optional. During the last week of class a tentative grade will be assigned to each student. Based on this grade a student may either accept this grade as his/her course grade or may elect to take the final. If you elect to take the final your final grade will be used in the calculation of your course grade. The homework, quizzes, final and project scores are weighted as defined in the following table. |
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Activity |
4003-457 |
4003-457 (without final) |
4005-757 |
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Homework |
30% |
40% |
20% |
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Quizzes |
50% |
60% |
50% |
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Final* |
20% |
No Final |
20% |
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Project Report and Presentation (757 only) |
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10% |
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Note: If you elect to
take the final it will be included in the calculation of your course
grade. You cannot take the final and then elect not to include the
final in the calculation of your course grade.
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Score |
Course Grade |
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90-100 |
A |
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80-89 |
B |
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70-79 |
C |
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60-69 |
D |
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<60 |
F |
Class cancellation
due to illness, car problems, weather, etc.:
I will use the SIS email addresses (DCE Account) and post
a notice on this webpage if for some reason it is necessary to cancel
class.
Matt McEuen's Segmented Flower
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TUESDAY |
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THURSDAY |
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Lecture 1 : Lecture01 |
Review MATLAB Tutorials |
Lecture 2 :
Lecture02 |
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Lecture 3 : Lecture03 |
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Lecture 4
Lecture04 |
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Lecture 5
: Lecture05 e-mail to specified
account |
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Lecture 6 :Lecture06 |
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Lecture 7 : Lecture07 |
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Lecture 8 : Lecture08 |
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Lecture 9
: Lecture09 |
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Lecture 10 :
Lecture10 |
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Lecture 11: Lecture11 HW#3 Due at 10:00am |
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Lecture 12 :
October 11th EXAM #1 (2 Hour Exam) (one page of notes allowed) |
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Lecture 13 : Lecture 13 October 16th |
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Lecture 14 Lecture14 Grad students: Weekly project webpage
Updates |
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Lecture 15 : Lecture14 |
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Lecture 16 : |
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Lecture 17 : 10:05-10:30
Kurt Kluever |
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Lecture 18 : 10:05-10:30
Daniel Krisher |
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Lecture 19 : |
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Lecture 20 : November 8th 10:05-10:25 Ainur Bazarbekova
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FINAL |
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Download
images here: Flags AudiCoupe PinkHotel CIS_Building
StairsDark
Frog yellowSpider1
RedCar
boxster5
RedFlower
WhiteFlower
image_A.bmp image_B.bmp image_C.bmp
CAR LICENSE PLATE IMAGES
CAR LICENSE PLATE TEST IMAGES
(All license plate recognition/detection projects MUST test their
project on the following car images and report results)
Failure to test and report on the following images will
result in a deduction of 25% off project grade
ROAD SIGN IMAGES TEST IMAGES (All road sign recognition/detection
projects MUST test their project on the following road images and
report results)
Failure to test and report on the following images will
result in a deduction of 25% off project grade
IMAGE REGISTRATIOM IMAGES ((All image registration projects MUST test their
project on the following image sequencess
and report results)
Failure to test and report on the following image sequences
will result in a deduction of 25% off project grade
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SEQUENCE ONE |
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SEQUENCE TWO |
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SEQUENCE THREE |
MAN MADE OBJECT DETECTION
IMAGES (All man made object detection projects
MUST test their project on the following images and report results)
Failure to test and report on the following images will
result in a deduction of 25% off project grade
Video Data:
people01_08_05.avi
people01_08_05A.avi
people01_09_05A.avi
peopleVan.avi
peopleVanFB2.avi
video link