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SHORTCUT:


Strategies for Visual Recognition

Introductory Workshop in Mathematical, Computational and Statistical Aspects of Image Analysis
January 25, 2005 10:30 AM to 11:30 AM
Speakers:
VMath - The Next Generation for Math Lectures on Streaming Video

Summary:

This is a tutorial talk on visual recognition. Categories are very natural to the human visual systems and can be recognized fairly well. This talk introduces model representation, recognition and learning, which are the three issues in building a machine vision system that can recognize categories.

Keywords:

Image Analysis; Category; Recognition; Learning; Model representation; HVS; Detection: Model; Feature.

Lecture #10780

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10780-geman.ppt (3.8 MB)

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