文件名称:
3D Shape Estimation and Image Restoration Exploiting Defocus and motionblur
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文件大小: 9mb
下载次数: 0
上传时间: 2010-10-01
详细说明： Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a sceneas well as its radiance properties and which in turn can be used to generate novel images with better quality. 3-D Shape Estimation and Image Restoration presents a coherent framework for the analysis and design of algorithms to esti mate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield "restored" images. It provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion. Topics and Features include: *Comprehensive introduction to guide readers through the different areas of the topic *Basic models of image formation *Discussion of least-squares shape from defocus *Unifying defocus and motion blur *Handling multiple moving objects *Dealing with occlusions *Appendices supply the necessary background in optimization and regularization ...展开收缩
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