Titlebook: 3D Structure from Images - SMILE 2000; Second European Work Marc Pollefeys,Luc Gool,Andrew Fitzgibbon Conference proceedings 2001 Springer-

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書目名稱3D Structure from Images - SMILE 2000讀者反饋




書目名稱3D Structure from Images - SMILE 2000讀者反饋學(xué)科排名

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978-3-540-41845-0Springer-Verlag Berlin Heidelberg 2001

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Atta-ur-Rahman,Viqar Uddin Ahmadcamera moves, and realistic computer animations. In these projects, images are used to determine the structure, appearance, and lighting conditions of the scenes. Early work in recovering geometry (and generating novel views) from silhouettes and stereo correspondence are presented, which motivate F

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Mauro S. Sandrin,Ian F. C. McKenzie of the number of frames used for the actual SaM calculations keeps the size of the problem manageable, regardless of the input frame rate. The proposed preprocessor is based upon global motion estimation between frames and a sharpness measure. With these tools, shot boundary detection is first perf

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Takaaki Kobayashi,David K. C. Coopernumber and concentrated in a small region in each image. This instability stems from the fact that actual transformations of images are usually in a small subgroup of the group of homographies. It is shown that such undesirable distortions can be removed by . using the geometric AIC without introduc

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https://doi.org/10.1007/978-1-4615-7113-1observing that scene is that they have rectangular pixels (zero-skew cameras). The proposed approach is based on a simple characterization of zero-skew projection matrices in terms of line geometry, and it handles zero-skew cameras with arbitrary or known aspect ratios in a unified framework. The me

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R. Boistelle,M. Mathieu,B. Simontial domain. In this paper, we present a method that warps the voxel space, so that the domain of the reconstruction extends to an infinite or semi-infinite volume. Doing so enables the reconstruction of objects far away from the cameras, as well as reconstruction of a background environment. New vi