Catalog 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.

Units: 3

Prerequisites: MATH 1A; MATH 1B; MATH 53; and MATH 54 (Knowledge of linear algebra and calculus).

Formats:
Fall: 3.0 hours of lecture per week
Spring: 3.0 hours of lecture per week

Grading basis: letter

Final exam status: Written final exam conducted during the scheduled final exam period

Also listed as: VIS SCI C280

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Class Schedule (Spring 2025):
CS C280 – MoWe 14:00-15:29, Berkeley Way West 1102 – Angjoo Kanazawa, Jitendra Malik

Class homepage on inst.eecs

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Department Notes: Course Homepage: http://www.eecs.berkeley.edu/~trevor/CS280.html

Related Areas:

• Artificial Intelligence (AI)
• Biosystems & Computational Biology (BIO)
• Graphics (GR)