Fall 2008
CSCI 493.69 (sec. 051)
Computational Vision
Hunter College
Prof. Ioannis Stamos

Day/Time: M,W 5:35-6:50

Classroom: TBA

Office hours: TBA

istamos@hunter.cuny.edu

http://www.cs.hunter.cuny.edu/~ioannis

Schedule and notes




 

                                                                                                                                                   


(Left) Mesh-based models of Thomas Hunter Building, NYC.  (Right) Texture-mapped point-based model of same building (camera locations shown).

       


Course Overview


This course will provide an introduction to the rapidly growing field of computer vision. This field deals with the analysis of images of various forms (regular color images, 3-D range images, etc.) and video. The output of vision processes provide an interpretation of the images in the form of 3-D reconstruction, or object representation. This technology has a wide variety of applications including image retrieval in digital libraries, image search, face recognition, photorealistic 3-D modeling, medical image analysis, digital cinematography, mobile robot navigation, industrial inspection, etc. A recent convergence between the fields of computer vision (inverse rendering) and computer graphics (rendering) opens new avenues of exploration. Significant commercial interest by a variety of companies, including Google and Mircosoft.

List of topics to be covered:

  • Camera models.
  • Camera calibration.
  • Edge detection.
  • Radiometry.
  • Stereopsis.
  • Optical flow.
  • Segmentation.
  • Registration.
  • Shape from Shading.
  • Photometric Stereo.
  • 3-D images (range data).



Course Format


Two classes per week introducing the basic concepts and techniques of the field. One midterm and final. Programming assignments.  


Prerequisites

CSCI 335 (can be waived by permission from the instructor).



Textbook

  • REQUIRED Robot Vision. B. K. P. Horn, The MIT Press, 1998 (12th printing).
  • Suggested:Introductory Techniques for 3-D Computer Vision. EmanueleTrucco and Alessandro Verri. Prentice Hall, 1998. 
  • Other vision books:
  • Computer Vision A Modern approach.  David S. Forsyth, Jean Ponce. Prentice Hall 2003.
  • Three-Dimensional Computer Vision: A Geometric Viewpoint. Olivier Faugeras, The MIT Press, 1996. 
  • An Invitation to 3-D Vision. Yi Ma, Stefano Soatto, Jana Kosecka, S. Shankar Sastry. Springer-Verlag, 2004.

 

References/Links

Computer Vision sites:

Computer Vision and Graphics Journals:

International Journal on Computer Vision.
Computer Vision and Image Understanding.
IEEE Trans. on Pattern Analysis and Machine Intelligence.
SIGGRAPH (http://www.siggraph.org).