| 期刊全稱 | 3-D Shape Estimation and Image Restoration | | 期刊簡稱 | Exploiting Defocus a | | 影響因子2023 | Paolo Favaro,Stefano Soatto | | 視頻video | http://file.papertrans.cn/101/100634/100634.mp4 | | 發(fā)行地址 | Describes analytical processes.Delineates the options open to programmers.Presents original algorithms.Demonstrates a coherent analytical framework for the analysis and design of algorithms to estimat | | 圖書封面 |  | | 影響因子 | Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer thr- dimensional information. For instance, if the scene contains objects made with homogeneous material, such as marble, variations in image intensity can be - sociated with variations in shape, and hence the “shading” in the image can be exploited to infer the “shape” of the scene (shape from shading). Similarly, if the scene contains (statistically) regular structures, variations in image intensity can be used to infer shape (shape from textures). Shading, texture, cast shadows, - cluding boundaries are all “cues” that can be exploited to infer spatial properties of the scene from a single image, when the underlying assumptions are sat- ?ed. In addition, one can obtain spatial cues from multiple images of the same scene taken with changing conditions. For instance, changes in the image due to a moving light source are used in “photometric stereo,” changes in the image due to changes in the position of the cameras are used in “stereo,” “structure from motion,” and “motion blur. ” Finally, changes in the image due to changes in the g | | Pindex | Book 2007 |
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