This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.
| ISBN: | 9781447152828 |
| Publication date: | 24th July 2013 |
| Author: | Marco Treiber |
| Publisher: | Springer an imprint of Springer London |
| Format: | Hardback |
| Pagination: | 257 pages |
| Series: | Advances in Computer Vision and Pattern Recognition |
| Genres: |
Computer vision Optimization |
This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.
Optimization for Computer Vision features in the following genres: Computer vision, Optimization
Optimization for Computer Vision is available in Hardback
Optimization for Computer Vision was written by Marco Treiber and published by Springer an imprint of Springer London
Optimization for Computer Vision has 257 pages
Yes it is part of Advances in Computer Vision and Pattern Recognition series