热烈的欢迎 发表于 2025-3-30 12:12:18

The Secret of Protein Sophistication,-similarity structures, nonaccidental alignment, and instance-specific modelling. The method searches for self-similar image structures that form nonaccidental patterns, for example collinear arrangements. We demonstrate a simple implementation of this idea where self-similar structures are found by

沙漠 发表于 2025-3-30 15:05:30

Sergei Kurgalin,Sergei Borzunovnatural three dimensional environments, it is important to study whether and how depth information influences visual saliency. In this work, we first collect a large human eye fixation database compiled from a pool of 600 2D-vs-3D image pairs viewed by 80 subjects, where the depth information is dir

esoteric 发表于 2025-3-30 19:41:51

Sergei Kurgalin,Sergei Borzunovin images (see, e.g., ). We systematically integrate and evaluate quaternion DCT- and FFT-based spectral saliency detection , weighted quaternion color space components , and the use of multiple resolutions . Furthermore, we propose the use of the eigenaxes and eigenangles for spectr

Serenity 发表于 2025-3-30 23:16:01

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Arctic 发表于 2025-3-31 04:45:55

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类人猿 发表于 2025-3-31 06:06:44

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套索 发表于 2025-3-31 12:24:48

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思想流动 发表于 2025-3-31 13:41:44

The Disentanglement of Populationse well-known Integral Histogram (IH), our approach significantly outperforms it, both in terms of memory requirements and of response times. By preprocessing the region of interest (ROI) computing and storing a temporary histogram for each of its pixels, IH is effective only when a large amount of h

食草 发表于 2025-3-31 17:49:24

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有帮助 发表于 2025-3-31 23:08:48

https://doi.org/10.1057/9780230297685paper tackles the problem of sparse coding and dictionary learning in the space of symmetric positive definite matrices, which form a Riemannian manifold. With the aid of the recently introduced Stein kernel (related to a symmetric version of Bregman matrix divergence), we propose to perform sparse
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查看完整版本: Titlebook: Computer Vision – ECCV 2012; 12th European Confer Andrew Fitzgibbon,Svetlana Lazebnik,Cordelia Schmi Conference proceedings 2012 Springer-V