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Titlebook: Computer Analysis of Images and Patterns; 15th International C Richard Wilson,Edwin Hancock,William Smith Conference proceedings 2013 Sprin

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樓主: gloomy
41#
發(fā)表于 2025-3-28 17:13:41 | 只看該作者
Benchmarking GPU-Based Phase Correlation for Homography-Based Registration of Aerial Imagery,U- and GPU-based implementation using different systems and a dataset of aerial imagery. We demonstrate that phase correlation benefits from GPU-based implementations much more than local methods, significantly increasing the processing speed.
42#
發(fā)表于 2025-3-28 19:37:10 | 只看該作者
Robustness of Point Feature Detection,es. After identifying matches in subsequent frames, RANSAC is used for removing inconsistent matches; remaining matches are taken as correct matches. This is the essence of our proposed evaluation technique. All the experiments use a proposed repeatability measure, defined as the ratio of the numbers of correct matches, and of all keypoints.
43#
發(fā)表于 2025-3-29 00:04:39 | 只看該作者
44#
發(fā)表于 2025-3-29 05:36:49 | 只看該作者
45#
發(fā)表于 2025-3-29 10:12:52 | 只看該作者
0302-9743 constitutes the refereed proceedings of the 15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, held in York, UK, in August 2013. The 142 papers presented were carefully reviewed and selected from 243 submissions. The scope of the conference spans the following are
46#
發(fā)表于 2025-3-29 14:08:31 | 只看該作者
47#
發(fā)表于 2025-3-29 16:24:57 | 只看該作者
48#
發(fā)表于 2025-3-29 19:43:30 | 只看該作者
49#
發(fā)表于 2025-3-30 01:25:29 | 只看該作者
Using Region-Based Saliency for 3D Interest Points Detection,d select the interest points in terms of the entropy in due voxel. The evaluation is carried out by studying the repeatability of the detected interest points under different perceptual conditions, such as different viewpoints and noise corruption. The results show that the proposed method achieves better performance than competitors.
50#
發(fā)表于 2025-3-30 04:24:03 | 只看該作者
Handwritten Word Image Matching Based on Heat Kernel Signature, to achieve handwritten word image matching. HKS can tolerate large variations in handwritten word images and capture local features. On the other hand, the triangular mesh structure is used to present global characteristics. Moreover, our method does not need pre-processing steps.
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