Introduction to Computer Vision  4003-457 / 405-757

Winter Quarter 2009_2

Dr. Roger S. Gaborski
Office Hours:  
see http://www.cs.rit.edu/~rsg/
Co-Instructor: Helen Yuheng Wang, wangyuheng.j@gmail.com, Office Hours: TBD

Teaching Assistant: – Santosh Kandregula, sxk9011@gmail.com, Office Hours: TBD

Tuesday / Thursday 8:00am – 9:50am
Classroom: Golisano B70 -3455






Required Textbook:
Digital Image Processing USING MATLAB
Gonzalez, Woods and Eddins
Second Edition  - Gatesmark Publishing
(note new edition and publisher)
(c)2009


 

Matlab resources:
Mathworks provides tutorials online:
http://www.mathworks.com/academia/student_center/tutorials/launchpad.html


You can access MATLAB on the CS computers  If you have any problems running Matlab contact the CS Admin Office

 

Homework Policies

1. There are two types of homework assignments:
1a. Homework assignments that are assigned, collected and graded. This work must be done independently. Discussion of the problem with other individuals is not allowed unless stated in writing on homework assignment.
1b. Informative assignments are assignments that are not collected and not graded.  It is strongly recommended that you complete these assignments. 

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.

3. Homework assignments are due on their due date listed on the course calendar below at the start of class.  A  10% per day penalty will be assigned for the first day the assignment is late, no homeworks will be accepted after first day.

4. Submit all homework via Email to:
rsg.introcv [at]gmail.com  replacing [at] with @

 

Course Grading Policies

Dates of exams will be listed on the course calendar. Dates of quizzes are usually NOT posted.Missed quizzes cannot be made up

If you miss an exam  for any reason you must notify me by email before class.
Failure to notify me before class will result in a zero grade for the exam.

The final course grade is a function of your homework grade, quiz grades, examl grades and project grade (if you are registered for 4005-757)

 The homework, quizzes, exams and project scores are weighted as defined in the following table.

 

Activity

4003-457


4005-757


Homework

30%


20%


Quizzes, Bonus Points and Exams (No Final)

70%


70%


Project Report and Presentations (757 only)



10%

Total

 100%


100%


Score

Course Grade

90-100

A

80-89

B

70-79

C

60-69

D

<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




COURSE CALENDAR SUBJECT TO CHANGE - CHECK FOR UPDATES

TUESDAY

 

THURSDAY

 

Class 1 :  Lecture 1
December 1st  
Roger Gaborski

Complete MATLAB Tutorials:

http://www.mathworks.com/academia/student_center/tutorials/

Class 2 : Lecture 2
MATLAB Script
December 3rd  Yuheng Wang

MATLAB tutorial from:
http://www.math.siu.edu/matlab/tutorials.html

 Tutorial2.pdf



Class 3   Lecture 3
December 8th Roger Gaborski

HW#1 Assigned
Due December 15
FYI: You should at least review the HW assignment before the quiz on Thursday.

 



Class 4  Lecture  4
December 10th  Roger Gaborski

EXAM #1: All material covered in Lectures 1, 2 and 3, reading assignments (Textbook pp1-99) and Matlab tutorials
CLOSED BOOK-NO NOTES, etc.





Class 5  : Lecture  5
December 15  Yuheng Wang

HW#1 Due at 8am

GRADUATE STUDENT PROJECT PAGE

Class 6  : Lecture 6
December 17th  Yuheng Wang
HW#2 Assigned 

 

Class 7 : Lecture 7
January 5th Yuheng Wang



Class 8  
January 7
th  Yuheng Wang

HW#2 Due at 8am

EXAM #2 Closed book, no notes

HW#3 Assigned
KoreanText.mat


Class 9  :Lecture 8
January12th Yuheng Wang


Class 10 Lecture 8
January 14th Yuheng Wang


HW#3 Due at 8am


Class 11 Lecture  9
January 19th Roger Gaborski

Non-CollectedHW_One

HW#4 Assigned

HW#5 Assigned

GRADUATE STUDENTS:
Email your 5-10 powerpoint presentation to rsg.introcv account by 8am. 


Projects that have not received preapproval will receive 0 points for the proposal



 Class  12  

January 21th Roger Gaborski

EXAM #2 MAKE-UP
(this is an optional exam to replace
Exam#2 given on Jan 7th)
Closed book - no notes

 


Class 13: 

January 26th Yuheng Wang


HW#4 Due at 8am




GRADUATE STUDENTS:
Email Thursday's presentation (10 powerpoint slides) to rsg.introcv account by 5pm on January 27th. Zero credit if powerpoint presentation not received by 5:00PM

Class 14  
January 28st Yuheng Wang

GRADUATE STUDENT PROJECT UPDATES

FIVE Minute presentation - 10 powerpoint slides- only show progress and results.
You must Email presentation to rsg.introcv account by 5pm on January 27th


15% of project grade

 

Class 15 :  Lecture 9 Continued
February 2nd
  Roger Gaborski

HW#5 Due at 8am

 


Class 16: Lecture 10
February 4
th Roger Gaborski






 Class 17 
February 9th Roger Gaborski

GRADUATE STUDENT PRESENTATIONS
(15 Minutes Each)

KWOK, SIU KI PAUL
ALMRADI, AHMED
ELAAG, ADEL
MILLER, KEVIN
HU, YANG
MAHON, PETER





 

Class 18 :
February 11th Roger Gaborski

GRADUATE STUDENT PRESENTATIONS
(15 Minutes Each)

AGARWAL, PIYUSH
PATIL, NIKHIL
SRINET, AMIT
CHITNIS, MIHIR
BHASKAR, MANU
BROOKS, ALEXANDER



 

Class  19
February 16th Roger Gaborski

GRADUATE STUDENT PRESENTATIONS
(15 Minutes Each)

DU, HAITAO
HAN, LUHAO
LIANG, YILONG
STUMP, MARK 
EYCHNER, DARRYL

GRADUATE STUDENT PROJECT
 REPORTS DUE AT 8AM


 

Class  20
February 18th Roger Gaborski


EXAM #3



 








 

 

 










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

CAR LICENSE PLATE IMAGES

CAR001

CAR002

CAR003

CAR004

CAR005

CAR006

CAR007

CAR008

CAR009

CAR010

CAR011

CAR012

CAR013

CAR014

CAR015

CAR016

CAR017

CAR018

CAR019

CAR020

CAR021

CAR022

CAR023

CAR024

CAR025

CAR026

CAR027

CAR028

CAR029

CAR030

CAR031

CAR032

CAR033

CAR034

CAR035

CAR036

CAR037

CAR038

CAR039

CAR040


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

CARtest01.JPG

CARtest02.JPG

CARtest03.JPG

CARtest04.JPG

CARtest05.JPG

CARtest06.JPG

CARtest07.JPG

CARtest08.JPG

CARtest09.JPG

CARtest10.JPG

CARtest11.JPG

CARtest12.JPG

CARtest13.JPG

CARtest14.JPG

CARtest15.JPG

CARtest16.JPG

CARtest17.JPG

CARtest18.JPG

CARtest19.JPG

CARtest20.JPG

CARtest21.JPG

CARtest22.JPG

CARtest23.JPG

CARtest24.JPG

CARtest25.JPG



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

Sign1

Sign2

Sign3

Sign4

Sign5

Sign6

Sign7

Sign8

Sign9

Sign10

Sign11

Sign12

Sign13

Sign14

Sign15

Sign16

Sign17

Sign18

Sign19

Sign20

Sign21

Sign22

Sign23

Sign24

Sign25


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

SEQUENCE ONE

IMAGE 1A

IMAGE 1B

IMAGE 1C

SEQUENCE TWO

IMAGE 2A

IMAGE 2B

IMAGE 2C

SEQUENCE THREE

IMAGE 3A

IMAGE 3B

IMAGE 3C


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

Man1

Man2

Man3

Man4

Man5

Man6

Man7

Man8

Man9

Man10


BOTTLE CAP IMAGES (All bottle cap projects must test and report their results on the following images. Failure to do so will result in a deduction of 25% off project grade

bluecap1.jpg
bluecap2.jpg
redcap1.jpg
orangecap1.jpg
orangecap2.jpg
birdcap1.jpg
fuzzcap1.jpg
fuzzcap2.jpg
birdAndfuzzcap1.jpg


FACE DATABASE

face1.jpg
face2.jpg
face3.jpg
face4.jpg
face5.jpg
face6.jpg
face7.jpg
face8.jpg
face9.jpg
face10.jpg
face11.jpg
face12.jpg
face13.jpg
face14.jpg
face15.jpg
face16.jpg
face17.jpg
face18.jpg
face19.jpg


AUTOMOBILE IMAGES (For use in car segmentation project )

Auto1
Auto2
Auto3
Auto4
Auto5
Auto6
Auto7
Auto8
Auto9
Auto10



Video Data:
Office1.avi    USE FOR MOVING PEOPLE PROJECT
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