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Titlebook: Computer Vision, Imaging and Computer Graphics: Theory and Applications; International Joint Sebastiano Battiato,Sabine Coquillart,José Br

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樓主: 吞食
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發(fā)表于 2025-3-23 12:48:45 | 只看該作者
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發(fā)表于 2025-3-23 15:54:31 | 只看該作者
Shape from Motion Blur Caused by Random Camera Rotations Imitating Fixational Eye Movementsd edge detection. This mechanism can be interpreted as stochastic resonance by biological processes, in particular, by neuron dynamics. We propose two algorithms that use the motion blur caused by many small random camera motions to recover the depth from a camera to a target object. The first is a
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發(fā)表于 2025-3-23 18:27:50 | 只看該作者
Conference proceedings 2014sion (VISAPP), the International Conference on Computer Graphics, GRAPP 2013, and the International Conference on Information Visualization IVAPP 2013, held in Barcelona, Spain, in February 2013. The 15 revised full papers presented were carefully reviewed and selected from 445 submissions. The pape
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發(fā)表于 2025-3-24 01:27:54 | 只看該作者
Conference proceedings 2014, held in Barcelona, Spain, in February 2013. The 15 revised full papers presented were carefully reviewed and selected from 445 submissions. The papers are organized in topical sections on theory and applications in computer vision, image analysis, computer graphics, and information visualization..
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發(fā)表于 2025-3-24 03:13:19 | 只看該作者
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發(fā)表于 2025-3-24 09:50:02 | 只看該作者
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發(fā)表于 2025-3-24 13:35:03 | 只看該作者
Cetaceans Are Highly Derived Artiodactyls, the number of weak regressors for optimal detection speed. Experiments performed on three datasets suggest that our approach is competitive compared to state-of-the art systems regarding precision, speed as well as stability of the prediction on video streams.
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發(fā)表于 2025-3-24 14:49:51 | 只看該作者
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發(fā)表于 2025-3-24 20:36:17 | 只看該作者
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發(fā)表于 2025-3-25 00:44:41 | 只看該作者
Facial Landmarks Localization Estimation by Cascaded Boosted Regression the number of weak regressors for optimal detection speed. Experiments performed on three datasets suggest that our approach is competitive compared to state-of-the art systems regarding precision, speed as well as stability of the prediction on video streams.
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