Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. *Ideal module text fo
Mathematical methods in computer vision and image processing
β Scribed by Jiang M.
- Book ID
- 127399077
- Year
- 2001
- Tongue
- English
- Weight
- 971 KB
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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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