<p><P>The present book contains extended versions of papers presented in the international Conference VIPIMAGE 2007 – ECCOMAS Thematic Conference on Computational Vision and Medical Image, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This conference was the fir
Mathematical methods in computer vision and image processing
✍ Scribed by Jiang M.
- Year
- 2001
- Tongue
- English
- Leaves
- 148
- Category
- Library
No coin nor oath required. For personal study only.
✦ 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.
📜 SIMILAR VOLUMES
The present book contains extended versions of papers presented in the international Conference VIPIMAGE 2007 – ECCOMAS Thematic Conference on Computational Vision and Medical Image, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This conference was the first ECC
This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading phy
<p><span>This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are neces
This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for