Optimization for computer vision an introduction to core concepts and methods / [electronic resource] :
- 作者： Treiber, Marco Alexander. author.
- 其他作者：
- 其他題名：
- Advances in computer vision and pattern recognition.
- 出版： London : Springer London :Imprint: Springer
- 叢書名： Advances in computer vision and pattern recognition,
- 主題： Computer vision--Mathematics. , Mathematical optimization. , Computer Science. , Image Processing and Computer Vision. , Optimization.
- ISBN： 9781447152835 (electronic bk.) 、 9781447152828 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
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讀者標籤：
- 系統號： 005396404 | 機讀編目格式
館藏資訊
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.