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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: DUBIT
发表于 2025-3-26 22:54:26 | 显示全部楼层
Lecture Notes in Computer Science and recently introduced tree-reweighted message passing (TRW). So far, the standard benchmark for their comparison has been a 4-connected grid-graph arising in pixel-labelling stereo. This minimization problem, however, has been largely solved: recent work shows that for many scenes TRW finds the g
发表于 2025-3-27 04:47:56 | 显示全部楼层
Jonathan Bootle,Alessandro Chiesa,Siqi Liue labeling each pixel with some quantity such as depth or texture. While many such problems can be elegantly expressed in the language of Markov Random Fields (MRF’s), the resulting energy minimization problems were widely viewed as intractable. Recently, algorithms such as graph cuts and loopy beli
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Gal Arnon,Alessandro Chiesa,Eylon Yogevmight be possible to compute a measure of uncertainty associated with the graph-cut solutions. In this paper we answer this particular question by showing how the min-marginals associated with the label assignments in a . can be efficiently computed using a new algorithm based on dynamic graph cuts.
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https://doi.org/10.1007/978-3-031-07082-2ted. It takes advantage of the image deformations induced by rolling shutter in CMOS image sensors. First of all, after analysing the rolling shutter phenomenon, we introduce an original model of the image formation when using such a camera, based on a general model of moving rigid sets of 3D points
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发表于 2025-3-28 05:53:49 | 显示全部楼层
Diana Ghinea,Vipul Goyal,Chen-Da Liu-Zhangons for calculating the focal length, principal point, mirror and camera poses directly from the silhouette outlines of the object and its reflections. In the noisy case, these equations are used to form initial parameter estimates that are refined using iterative minimisation. The self-calibration
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