Computer Science 280

Title	Computer Vision
Units	3
Prerequisites	Knowledge of linear algebra and calculus. Mathematics 1A-1B, 53, 54 or equivalent.
Description	Paradigms for computational vision. Relation to human visual perception. Mathematical techniques for representing and reasoning, with curves, surfaces and volumes. Illumination and reflectance models. Color perception. Image segmentation and aggregation. Methods for bottom-up three dimensional shape recovery: Line drawing analysis, stereo, shading, motion, texture. Use of object models for prediction and recognition. Also listed as Vision Science C280.

Sections Instructor Teaching Effectiveness How worthwhile was this course?

Fall 2007 Malik 6.2 / 7 ± 0.4
5.8 / 7 ± 0.4

Spring 2005 Geyer 3.9 / 7 ± 1.3
4.4 / 7 ± 1.3

Fall 2003 Forsyth 5.9 / 7 ± 0.4
5.8 / 7 ± 0.4

Fall 2002 Horn 6.5 / 7 ± 0.5
6.2 / 7 ± 0.9

Spring 2002 Forsyth 5.9 / 7 ± 0.5
5.6 / 7 ± 0.5

Spring 2001 Forsyth 5.6 / 7 ± 0.5
5.3 / 7 ± 0.8

Spring 2000 Forsyth 5.4 / 7 ± 0.6
4.6 / 7 ± 1.0

Spring 1999 Malik 6.2 / 7 ± 0.2
5.9 / 7 ± 0.4

Fall 1997 Forsyth 4.7 / 7 ± 0.6
4.6 / 7 ± 0.6

Spring 1997 Weber 6.1 / 7 ± 0.5
5.7 / 7 ± 0.9

Spring 1996 Malik 5.9 / 7 ± 0.4
6.0 / 7 ± 0.4

Spring 1995 Malik 5.9 / 7 ± 0.5
5.8 / 7 ± 0.5

Spring 1994 Malik 6.2 / 7 ± 0.2
6.1 / 7 ± 0.4

Spring 1993 Malik 5.4 / 7 ± 1.1
5.3 / 7 ± 0.9

Spring 1992 Malik 5.7 / 7 ± 0.3
5.5 / 7 ± 0.4

Fall 1989 Malik 5.7 / 7 ± 0.5
4.9 / 7 ± 0.8

Spring 1989 Malik 5.3 / 7 ± 0.5
5.1 / 7 ± 0.7

Overall Rating Teaching Effectiveness How worthwhile was this course?

Computer Science 280 5.7 / 7 ± 0.0
5.5 / 7 ± 0.0

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