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Titlebook: Computer Vision - ECCV 2008; 10th European Confer David Forsyth,Philip Torr,Andrew Zisserman Conference proceedings 2008 Springer-Verlag Be

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樓主: Julienne
31#
發(fā)表于 2025-3-26 23:16:15 | 只看該作者
Calibration from Statistical Properties of the Visual Worldroughout different visual environments, suggesting that the model encodes a very general property of our visual world..Finally, leveraging this method to estimate angles from signal pairs, we show how distance geometry techniques allow to recover the complete sensor geometry.
32#
發(fā)表于 2025-3-27 03:49:46 | 只看該作者
33#
發(fā)表于 2025-3-27 05:46:49 | 只看該作者
34#
發(fā)表于 2025-3-27 09:39:45 | 只看該作者
35#
發(fā)表于 2025-3-27 17:20:08 | 只看該作者
36#
發(fā)表于 2025-3-27 20:47:37 | 只看該作者
Marco A. Casanova,Antonio L. Furtadore images and a commercial textile image archive demonstrate substantially improved accuracy compared to two competing methods. The method is also used for classification of texture images as regular or irregular. An application to thumbnail image extraction is discussed.
37#
發(fā)表于 2025-3-27 23:37:31 | 只看該作者
38#
發(fā)表于 2025-3-28 04:58:25 | 只看該作者
Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration achieved by a guiding force of our data-driven sampling and posterior probability model. In the experiments, we demonstrate the power and utility on image retrieval and unsupervised recognition and segmentation of multiple common objects.
39#
發(fā)表于 2025-3-28 07:09:21 | 只看該作者
Automated Delineation of Dendritic Networks in Noisy Image StacksGiven these models, we can then trace the dendritic trees of neurons automatically by enforcing the tree structure of the resulting graph. We will show that our approach performs better than traditional techniques on brighfield image stacks.
40#
發(fā)表于 2025-3-28 13:22:08 | 只看該作者
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