3DPhotography

Spring 2005
CSc 83010
Topics in Computer Graphics: 3D Photography
Graduate Center of CUNY

Day/Time: Tuesdays 4:15 - 6:15pm

Classroom: 3306

Ioannis Stamos

      istamos@hunter.cuny.edu
    

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

PhD, MS, or advanced-undergraduate students are eligible to register

Course Materials and Schedule (updated regularly)

Link to 3D Photography course taught at the GC in Fall 2003.

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

Course Overview
Recent advances in computer hardware have made possible the efficient rendering of realistic 3D models in inexpensive PCs, something that was possible with high end visualization workstations only a few years ago. This class will cover the field of 3D Photography -the process of automatically creating 3D texture mapped models of objects- in detail. Several applications benefit by this technology: virtual reality, digital cinematography, computer games, historical preservation, urban planning, just to name a few.

The class will be based on presentations of recent papers. The research facilities of the Vision and Graphics Laboratory will become available to registered class participants. The research of our laboratory is supported by the National Science Foundation through CAREER and Major Research Instrumentation awards.

Course Format

There will be a weekly class, with presentations by the instructor. The presentations will introduce the basic concepts and techniques of the field. We anticipate to be honored by at least two invited lectures from top people of the computer graphics industry (a researcher from the Academy Award winning BlueSky studios is expected to provide an exciting lecture). Each student will present one assigned paper.

The grade will be based upon the following: 30% for two programming assignments, 20% for each student paper presentation, 40% for final project and 10% for class participation.

Prerequisites

Students need to be familiar with at least one of the following topics: Image/Pixel Processing, Computer Vision, Computer Graphics, or Robotics. A prerequisite can be waived by permission of the instructor. PhD, MS, or advanced-undergraduate students are eligible to register.

Topics

Acquiring images: 2D and 3D sensors (digital cameras and laser range scanners).
Camera calibration methods and registration algorithms.
3D modeling and rendering.

Model simplification.
Image based rendering.
Texture mapping.

Course Material

Course Materials and Schedule (updated regularly).

References

This class will be based on recent publications and recent workshops. A set of seminars, books, and journals are provided for your reference.

3D Photography workshops:

3D Photography Course, SIGGRAPH 2000.
Image-Based Modeling and Rendering, SIGGRAPH 1998.
Workshop on Image-Based Modeling and Rendering, Stanford 1998.

Computer Graphics Books:

Computer Graphics, Principles and Practice

3D Computer Graphics

OpenGL Programming Guide

Computer Vision Books:

Introductory Techniques for 3-D Computer Vision. EmanueleTrucco and Alessandro Verri. Prentice Hall, 1998.
Robot Vision. B. K. P. Horn, The MIT Press, 1998 (12th printing).
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.
Computer Vision A Modern approach. David S. Forsyth, Jean Ponce. Prentice Hall 2003.
Computer Vision. Linda Shapiro and George Stockman. Prentice Hall, 2001.

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).