ENGLISH

Mathematical methods in computer vision and image processing

Book information

Year
2001
Language
english
Format
DJVU
Filesize
971 kB (994166 bytes)
Pages
148\148
Library
mexmat
Time added
2009-07-20 03:45:11

Description

In this course, we will study some mathematical models and problems associated with basic problems in computer vision and digital image processing. The mathematical models are set up with various mathematical theories, ranging from Bayesian inference approach, Markov random fields, variational calculus, scale space theory, partial differential equations, to stochastic differential equations.

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