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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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41#
發(fā)表于 2025-3-28 18:32:50 | 只看該作者
42#
發(fā)表于 2025-3-28 20:11:44 | 只看該作者
Vertebrae Tracking in Lumbar Spinal Video-Fluoroscopy Using Particle Filters with Semi-automatic Inicle filter is used to track the vertebrae through the sequence. The proposed technique is able to track the vertebrae in both lateral and frontal video-fluoroscopy sequences. The tracking results compare well with the ground truth data obtained by manually segmenting the vertebrae.
43#
發(fā)表于 2025-3-29 00:39:47 | 只看該作者
Cell Nuclei Detection Using Globally Optimal Active Contours with Shape Priorin order to better detect individual nuclei. The method is formulated as the optimization of a convex energy function. The proposed method shows accurate detection results even for clusters of nuclei where state of the art methods fail.
44#
發(fā)表于 2025-3-29 04:53:12 | 只看該作者
https://doi.org/10.1057/9781137466839f extracted signals. The gait patterns are compared on the level of individual walk cycles in order to increase the recognition effectiveness. The results evaluated on a 3D database of walking humans achieved the recognition rate up to 96 %.
45#
發(fā)表于 2025-3-29 08:48:47 | 只看該作者
46#
發(fā)表于 2025-3-29 13:47:05 | 只看該作者
https://doi.org/10.1057/9780333982785are called “dynamic background”. This paper proposes a novel foreground extraction method exploiting templates which are originally used to accelerate video completion itself. Both the efficiency and accuracy of the process are demonstrated over existing methods.
47#
發(fā)表于 2025-3-29 16:24:57 | 只看該作者
A Proposal: Morality over Legality,ce surface. To account for the wide and unpredictable ranges of pose and appearance variations and environmental and illumination clutter the tags are continuously and automatically updated by local incremental learning of the object’s background and foreground.
48#
發(fā)表于 2025-3-29 21:27:58 | 只看該作者
49#
發(fā)表于 2025-3-30 02:28:37 | 只看該作者
50#
發(fā)表于 2025-3-30 04:29:12 | 只看該作者
A Template-Based Completion Framework for Videos with Dynamic Backgroundsare called “dynamic background”. This paper proposes a novel foreground extraction method exploiting templates which are originally used to accelerate video completion itself. Both the efficiency and accuracy of the process are demonstrated over existing methods.
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