凹处
发表于 2025-3-28 14:34:20
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老人病学
发表于 2025-3-28 19:03:14
Dynamic Color Texture Modeling and Color Video Decomposition Using Bounded Variation and Oscillatory. Important tasks are thus the detection, segmentation and perceptual characterization of Dynamic Texture (DT). Following recent work, color image decomposition appears as a good way to reach these different aims, however, to our best knowledge, no proposed model is currently able to deal with tempo
Dappled
发表于 2025-3-29 01:43:35
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Musculoskeletal
发表于 2025-3-29 03:03:33
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asthma
发表于 2025-3-29 09:28:49
A People Counting System Based on Dense and Close Stereovisionsystem well adapted to buses environment. The processing chain corresponding to this counting system involves several blocks dedicated to the detection, segmentation, tracking and counting. From original stereoscopic images, the system operates primarily on the information contained in disparity map
THROB
发表于 2025-3-29 13:27:42
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一骂死割除
发表于 2025-3-29 17:35:56
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吞下
发表于 2025-3-29 23:11:44
Uniqueness Filtering for Local Feature Descriptors in Urban Building Recognitionr disadvantage in terms of the speed of search and recognition in a run-time application. Besides, not all detected features are equally important in the search. It is therefore essential to select informative descriptors. In this paper, we propose a new approach to selecting a subset of local featu
obtuse
发表于 2025-3-30 01:07:10
Dynamic Human Fatigue Detection Using Feature-Level Fusiontection from facial image sequences. First, Gabor filters are employed to extract multi-scale and multi-orientation features from each image, which are then merged according to a fusion rule to produce a single feature. To account for the temporal aspect of human fatigue, the fused image sequence is
切掉
发表于 2025-3-30 06:56:58
Real Time Monocular Depth from Defocuspth in real time. It falls under the group "Depth from defocus" methods. The blur is modelled by the convolution of a Gaussian Point Spread Function (PSF) which with the theoretical sharp image. We calculate the gradients and Laplacians of the two blurred images and according to the type of contour,