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Titlebook: Advances in Visual Computing; 8th International Sy George Bebis,Richard Boyle,Michael Papka Conference proceedings 2012 Springer-Verlag Ber

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發(fā)表于 2025-3-23 11:16:36 | 只看該作者
12#
發(fā)表于 2025-3-23 14:13:14 | 只看該作者
Tradition as the Foundation of Conservatism,paper presents a technique to track the vertebrae using particle filters with image gradient based likelihood measurement. In the first X-ray frame, the vertebrae are semi-automatically segmented and a bi-spline curve is fitted to the landmark points to construct the vertebrae outlines; then a parti
13#
發(fā)表于 2025-3-23 21:13:36 | 只看該作者
Tradition as the Foundation of Conservatism,ical sequences may also present illumination variations and noise. The above problems can be addressed by an invariant similarity measure, such as mutual information. However, in a variational setting convex formulations are generally recommended for efficiency reasons, especially when discontinuiti
14#
發(fā)表于 2025-3-23 23:24:24 | 只看該作者
15#
發(fā)表于 2025-3-24 05:54:16 | 只看該作者
https://doi.org/10.1057/9780230607040l research. We focus on the accuracy of the different descriptors on a per-landmark basis when constrained to a local search. For most descriptors, we find that the curves of expected error against the search radius have a plateau that can be used to characterize their performance, both in terms of
16#
發(fā)表于 2025-3-24 07:06:52 | 只看該作者
17#
發(fā)表于 2025-3-24 13:26:54 | 只看該作者
https://doi.org/10.1057/9780230596863tter, bleed through and partial occlusion of nuclei make this a challenging task for automated detection of individual nuclei using image analysis. This paper proposes a novel and robust detection method based on the active contour framework. The method exploits prior knowledge of the nucleus shape
18#
發(fā)表于 2025-3-24 17:20:16 | 只看該作者
19#
發(fā)表于 2025-3-24 20:00:59 | 只看該作者
20#
發(fā)表于 2025-3-25 01:00:50 | 只看該作者
Imperial Servants and Adventurers,tting still have their own problems due to statistical optimization from small number of features. In this paper, a novel alpha matting methodology using compressive sensing, which is less dependent on the given trimap and scribbles, is proposed. The experimental results obtained for many complex na
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