3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur

最新推荐文章于 2022-07-04 19:22:59 发布

topmvp

最新推荐文章于 2022-07-04 19:22:59 发布

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分类专栏： 3D Animation 文章标签： image properties optimization structure features include

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本书关注的是如何从失焦和运动模糊的图像中推断场景的三维信息以及辐射特性，并利用这些信息生成质量更高的新图像。通过提供一套针对所选模型和估计准则最优的算法，为3D形状估计和图像修复提供了连贯的分析和设计框架。

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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 estimate 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

http://rapidshare.com/files/134454608/1846281768.rar