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Titlebook: Computer Vision -- ECCV 2006; 9th European Confere Aleš Leonardis,Horst Bischof,Axel Pinz Conference proceedings 2006 Springer-Verlag Berli

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楼主: oxidation
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Dense Photometric Stereo by Expectation MaximizationRandom Fields (MRF) utilized a dense set of noisy photometric images for estimating an initial normal to encode the matching cost at each pixel, followed by normal refinement by considering the neighborhood of the pixel. In this paper, we argue that they had not fully utilized the inherent data redu
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Self-calibration of a General Radially Symmetric Distortion Model. In contrast to most current models, we propose a model encompassing fisheye lenses as well as catadioptric cameras with a view angle larger than 180°..Rather than representing distortion as an image displacement, we model it as a varying focal length, which is a function of the distance to the dis
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A Simple Solution to the Six-Point Two-View Focal-Length Problem15th degree polynomial in the unknown focal-length. During this course, a simple and constructive algorithm is established. To make use of multiple redundant measurements and then select the best solution, we suggest a kernel-voting scheme. The algorithm has been tested on both synthetic data and re
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Iterative Extensions of the Sturm/Triggs Algorithm: Convergence and Nonconvergencet converge to usable results. The iterative extension of Mahamud et al. has similar problems, and experiments with “balanced” iterations show that they can fail to converge. We present CIESTA, an algorithm which avoids these problems. It is identical to SIESTA except for one extra, simple stage of c
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An Efficient Method for Tensor Voting Using Steerable Filtersns of oriented features over a spatial context in the image. Tensor voting is an existing technique to extract features in this way. In this paper, we present a new computational scheme for tensor voting on a dense field of rank-2 tensors. Using steerable filter theory, it is possible to rewrite the
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234143.jpg
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