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Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomás Pajdla,Ji?í Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

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樓主: Jackson
11#
發(fā)表于 2025-3-23 11:19:35 | 只看該作者
Inferring White Matter Geometry from Diffusion Tensor MRI: Application to Connectivity Mapping capable of probing and quantifying the anisotropic diffusion of water molecules in biological tissues. We address the problem of consistent neural fibers reconstruction in areas of complex diffusion profiles with potentially multiple fibers orientations. Our method relies on a global modelization o
12#
發(fā)表于 2025-3-23 15:13:14 | 只看該作者
13#
發(fā)表于 2025-3-23 21:22:46 | 只看該作者
Morphological Operations on Matrix-Valued Imagesess-tensor consists of tensor-valued data. Hence adequate image processing methods for shape analysis, skeletonisation, denoising and segmentation are in demand. The goal of this paper is to extend the morphological operations of dilation, erosion, opening and closing to the matrix-valued setting. W
14#
發(fā)表于 2025-3-23 22:46:14 | 只看該作者
Constraints on Coplanar Moving Points constraints on different configurations of points moving on a plane. We show that 4 points with constant independent velocities or accelerations under affine projection can be characterized in a view independent manner using 2 views. Under perspective projection, 5 coplanar points under uniform lin
15#
發(fā)表于 2025-3-24 04:36:46 | 只看該作者
A PDE Solution of Brownian Warpingtion symmetric, fulfills a natural semi-group property for warps, and with probability 1 create invertible warps. In this paper, we formulate a Partial Differential Equation for obtaining the maximum likelihood warp given matching constraints derived from the images. We solve for the free boundary c
16#
發(fā)表于 2025-3-24 10:31:39 | 只看該作者
17#
發(fā)表于 2025-3-24 14:26:45 | 只看該作者
18#
發(fā)表于 2025-3-24 15:13:28 | 只看該作者
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illuminationre highly correlated. We model such surfaces as Gaussian processes and derive the resulting statistical characterization of the corresponding images. Supported by this model, we treat the difference between two images, associated with the same surface and different lighting, as colored Gaussian nois
19#
發(fā)表于 2025-3-24 22:56:49 | 只看該作者
20#
發(fā)表于 2025-3-25 01:04:52 | 只看該作者
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