Office Hours and Location: Mondays 4:00 pm to 5:30 pm at 719 Broadway Room 1225.
Books: None
Syllabus:
1. Format Images
Lecture 1.ppt (power point)
png.java c++.html
for more material see http://cat.nyu.edu/~crispy/vis2003/
2. Introduction to Computer Vision.
Lecture 2.ppt (power point)
3. Image Measurements and Feature Detection
(Image pixels, oriented filters, derivatives, edges, junctions)
Lecture 3.ppt (power point) and
Lecture 3a.doc (word document)
and
Lecture 3b.doc (word document)
4. Image formation
Lecture 4.ppt (power point)
5. Contour Detection
(Snakes and graph algorithms)
Lecture 5.doc (word document)
6. Image Segmentation
Lecture 6.ppt (power point)
Shi&Malik's paper Ncut.ps.gz
(compressed postscript)
Shi's work ncut_popout_cvpr01.ppt (power point)
7. Illumination
(Decomposing illumination from reflectance functions)
Lecture 7.ppt (power point)
8. Stereo Vision
(Geometry of two or more cameras, priors for stereo, algorithms)
Lecture 8.ppt (power point)
Lecture 8.doc (word document)
9. Structure from multiple Views
(Decomposing shape from view/projections)
Lecture 9.ppt (power point)
10. Tracking
(motion tracking of objects)
Lecture 10.ppt (ppt format)
face-tracking.mpeg (mpeg format)
hand.mpeg (mpeg format)
leafmv.mpeg (mpeg format)
dancemv.mpeg (mpeg format)
Look at
http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/ISARD1/condensation.html
11. Symmetry Axis
Lecture12.ppt (power point)
12. Face Recognition
Lecture13.ppt (power point)
Evaluation: Homeworks.
Homeworks: Students are encouraged to work on small groups (not more than 5 students in a group, and three is better than five.) However, each student should submit/write its own homework.
Homework-1.doc (word document)
due Thursday October 2th, 2003
Here are the images:
test.bmp or
test.ras or
test.png
testnoise.bmp or
testnoise.ras or
testnoise.jpg
butterfly.bmp or
butterfly.png or
butterfly.pdf
Homework.2.doc (word document)
due Thursday October 23rd, 2003
Homework-3.doc (word document)
due last day of classes.
Link to the images
IN PREPARATION
10. Recognition
(handwriting and face recognition).
handwriting.ppt (power point)
