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Titlebook: Articulated Motion and Deformable Objects; 5th International Co Francisco J. Perales,Robert B. Fisher Conference proceedings 2008 Springer-

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樓主: ossicles
51#
發(fā)表于 2025-3-30 10:12:15 | 只看該作者
52#
發(fā)表于 2025-3-30 16:05:19 | 只看該作者
A Two-Step Approach for Detecting Individuals within Dense Crowds,still color images of dense crowds in a cluttered background. In the second step, which aims to reduce false alarm rates at same detection rates, color bin images are constructed from normalized . color histograms of the detected windows in the first step. Haar-like features extracted from these col
53#
發(fā)表于 2025-3-30 19:44:28 | 只看該作者
3D Modeling for Deformable Objects,us BSpline fitting approaches are: 1) the reconstructed BSpline patch does not need to be square shaped. This significantly reduces the required number of BSpline patches for reconstruction; 2) the dataset to be reconstructed does not have to be grid data. This is important, especially for 3D scan d
54#
發(fā)表于 2025-3-30 23:56:33 | 只看該作者
Active-Vision System Reconfiguration for Form Recognition in the Presence of Dynamic Obstacles,(.). A multi-camera active-vision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction horizon. The proposed method seeks to maximize the visibility of such a time-varying geometry in a cluttered, dynamic environment. Simulated experiments cl
55#
發(fā)表于 2025-3-31 04:41:21 | 只看該作者
56#
發(fā)表于 2025-3-31 06:20:37 | 只看該作者
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發(fā)表于 2025-3-31 12:33:14 | 只看該作者
58#
發(fā)表于 2025-3-31 13:42:21 | 只看該作者
https://doi.org/10.1007/978-3-540-70517-83D graphics; 3D recovery; affective computing; animation; articulated models; articulated motion; augmente
59#
發(fā)表于 2025-3-31 19:03:16 | 只看該作者
978-3-540-70516-1Springer-Verlag Berlin Heidelberg 2008
60#
發(fā)表于 2025-4-1 00:39:52 | 只看該作者
US-Latin American Naval RelationsWe present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algorithms for tracking and extend clustering techniques by a self-tuning heuristic. Application to video sequences of humans shows good segmentation into limbs.
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