SUBJECT
Title
3D Computer Vision
Type of instruction
lecture+practical
Level
Master
Faculty
Part of degree program
Credits
2+2+1
Recommended in
Semester 2
Typically offered in
Spring semester
Course description
Camera models. Feature detection in images. Pattern matching. Camera calibration. StEreo vision. Monocular vision. Simultaneous localization and mapping. Case studies in several application fields of computer vision.
Readings
Compulsory readings:
- Richard Hartley, Andrew Zisserman. Multiple View Geometry 2nd edition, Cambridge University Press, 2004. ISBN: 05215405182
Recommended readings:
- Yi Ma, Stefano Saotto, Jana Kosecka, S. Shankar Sastry. An Invitation to 3-D Vision. Springer-Verlag, New York, November 2003
- Marc Pollefeys. Visual 3D Modelling from Images.(tutorial) http://www.cs.unc.edu/~marc/tutorial/