University of California, Berkeley

EE290T, Spring 2013
Advanced Topics in Signal Processing:
3D image processing and Computer Vision

Tuesday, 9:00 am - 11:00 am
212 Cory Hall

Prerequisite:  Signals and Systems at the level of EE120, basic linear algebra.

Course Announcement

Academic Dishonesty Policy

Grading:
15 % class participation
20 % exercises and homework
65 % project: Proposals due by March 1st

Lecturer:
Professor Avideh Zakhor
507 Cory Hall
Phone: (510) 643-6777
avz@eecs

Office Hours:
Tuesday, 11:00 - 12:00 noon, 507 Cory Hall

Course Administrative Assistant:
Lea Barker
(510) 642-2384
leab@eecs

Texts:

(a) ″Computer Vision: Algorithms and Applications″ by Richard Szeliski; Springer; available online at: http://szeliski.org/Book/

(b) ″Multiple View Geometry in Computer Vision″ by Richard Hartley and Andrew Zisserman, second edition, Cambridge Press (Look up electronically at OskiCat)

(c) Recommended: ″Image Based Modeling″ by Long Quan, Springer

(d) Tutorial Notes by Marc Polleyfeys on ″Visual 3D modeling from images″    Webpage    PDF

(e) ″Computer Vision: Models, learning and inference″ by Simon Prince; available online at: http://www.computervisionmodels.com

Announcements:

• Welcome to EE290T!

Readings

• Chapter 2.1 of Rick Szeleski's book


• ″The 3D Model Acquisition Pipeline,″ by Fausto Bernardini and Holly Rushmeier, Computer Graphics Forum V. 21, No. 2, pp149-172
  PDF


• ″3D Challenges and a Non-In-Depth Overview of Recent Progress,″ by Luc Van Gool, Bastian Leibe, Pascal Muller, Maarten Vergauwen and Thibaut Weise, 3DIM 2007.
  PDF


• ″A Flexible New Technique for Camera Calibration,″ by Zhengyou Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence, V. 22, No. 11, pp 1330-1334, 2000.
  PDF


• ″Single View Metrology,″ by A. Criminisi, I. Reid, and A. Zisserman, International Journal of Computer Vision 40(2), 123-148, 2000.
  PDF

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