G22.2271-001, Computer Vision,
Graduate Division, Computer Science
Classes: Thursday, 5pm-7pm.
Class Room: WWH102. Instructor
Davi Geiger, firstname.lastname@example.org
Office: 715 Broadway, 714.
Phone: +1 (212) 998-3235
Office Hours: Thursday 2pm-4pm.
This course will look at basic ideas on Computer Vision and how they
work. Students will be encouraged to understand well the material as well as
develop software that works on images. The course will cover
basic Image Processing tools (convolution, filtering, and multiscale
representation of images), Edge detection, Contour Detection/Segmentation,
Skeletonization, Stereo Vision, Motion (Optial
Flow and 3D Structure), Shape From Shading and Color, Recognition.
There will be homeworks, about every two weeks, with programming
assignments and written assignments. The student will have a
choice of having a more experimental experience (more programming)
or a more teoretical experience (more written homeworks).
There will be a course project, starting at the beginning of the course
(by the third lecture it starts). There will be a choice of different
projects. The project will "substitute the exams".
Introductory Techniques for 3-D Computer Vision.
Emanuele Trucco and Alessandro Verri.
Publisher: Prentice Hall.
Complement (not required)
Wavelet Tour of Signal Processing.
Publisher: Academic Press (2nd Edition is coming).
Class 1: Introduction
Class 2: Convolution (invited Lecture: Prof. Jack Schwartz)
S. Mallat, Wavelet Tour of Signal Processing. Chapter 2.
Class 3: Derivatives and Edge detection. Problem set 1. 2 pages postscript .
Class 4: Edge Grouping and Dynamic Programming. Course Material. 3 pages word document .
Class 5: Stereo Vision: Camera Calibration and Epipolar Geometry.
Problem Set 2 and Project Suggestion. 1 page word document .
Class 6: Stereo Vision: Cooperative Stereo.
Class 7: Optical Flow and the Aperture Problem.
Class 8: Contour grouping revisited (Projects)
6 pages postscript .
Class 9: Motion.
Please see instructor for more details regarding this