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Titlebook: Computer Vision -- ECCV 2006; 9th European Confere Ale? Leonardis,Horst Bischof,Axel Pinz Conference proceedings 2006 Springer-Verlag Berli

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31#
發(fā)表于 2025-3-26 23:24:28 | 只看該作者
32#
發(fā)表于 2025-3-27 04:44:40 | 只看該作者
33#
發(fā)表于 2025-3-27 05:29:59 | 只看該作者
34#
發(fā)表于 2025-3-27 12:20:52 | 只看該作者
Aayush Jain,Nathan Manohar,Amit Sahaiinimizing Lipschitz Extension (AMLE), already known as a robust and coherent scalar image interpolation technique if we relax slightly the axioms. Numerical results, using a multiresolution scheme, show that they produce fields in accordance with the human perception of edges.
35#
發(fā)表于 2025-3-27 14:42:37 | 只看該作者
36#
發(fā)表于 2025-3-27 21:12:12 | 只看該作者
A Simple Solution to the Six-Point Two-View Focal-Length Problemal images. Satisfactory results are obtained for both cases. For reference purpose we include our Matlab implementation in the paper, which is quite concise, consisting of 20 lines of code only. The result of this paper will make a small but useful module in many computer vision systems.
37#
發(fā)表于 2025-3-28 00:40:34 | 只看該作者
38#
發(fā)表于 2025-3-28 05:58:03 | 只看該作者
An Efficient Method for Tensor Voting Using Steerable Filters tensor voting operation as a linear combination of complex-valued convolutions. This approach has computational advantages since convolutions can be implemented efficiently. We provide speed measurements to indicate the gain in speed, and illustrate the use of steerable tensor voting on medical applications.
39#
發(fā)表于 2025-3-28 07:18:43 | 只看該作者
Robust Multi-view Face Detection Using Error Correcting Output Codesterns can be divided into separated classes across views, and ECOC multi-class method can improve the robustness of multi-view face detection compared with the view-based methods because of its inherent error-tolerant ability. One key issue with ECOC-based multi-class classifier is how to construct
40#
發(fā)表于 2025-3-28 11:11:55 | 只看該作者
Inter-modality Face Recognitions problem, the face images in the database and the query images captured on spot are acquired under quite different conditions or even using different equipments. Conventional approaches either treat the samples in a uniform model or introduce an intermediate conversion stage, both of which would le
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