ECE 472


Concepts in Robotics and Computer Vision

Instructor: Prof.  Kristin Dana,

TA or Grader: to be determined

Office Hours: Thursday 2-3, Room 528 CORE

Textbooks (recommended):

  1. 1.Computer Vision: Algorithms and Applications, Richard Szeliski, 2010 , Microsoft  Research, (draft version online)

  2. 1.,Multiple view geometry in computer vision, Hartley and Zisserman, 2003 , Microsoft  Research, (draft version online)

  3. 2.Trucco and Verri, Prentice Hall 1998 Introductory Techniques for 3­D Computer Vision (out of print: ebook version may be available online)

Additional Textbooks (recommended):

  1. 1.Pattern Recognition and Machine Learning, Christopher Bishop

  2. 2.Learning OpenCV, Prentice Hall, Gary Bradski and Adrian Kaehler

Grading Scheme:

    Test 1: 20%

    Test 2: 20%

    Homework+Quizzes: 20%

    40% Final/Project

Homework Policy: All homework must be submitted by the beginning of class on the due date. Late homework will not be accepted



Class communication will be done via Sakai