Search - RANSAC Method

Search - RANSAC Method - List

[Graph program] RANSAC_23-Apr-2008_ DL : 0: ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准。-RANSAC is a commonly used method of robust computer vision, two images can be used for registration.
Date : 2025-12-22 Size : 52kb User : whj4123
[Graph program] ADetectionTechniqueofOccludedboundaryregionsforSte DL : 0: 针对平行结构立体摄像机存在较大的遮挡边界区域问题，本文提出了一种基于可信图的遮挡边界检测算法．首先通过采样计算立体图像对中几条扫描线的可信值，从而得到遮挡边界的若干采样点；然后通过RANSAC算法得到遮挡边界．理论和实验分析表明该算法对复杂背景的立体图像有好的检测精度；对人肩像等简单背景图像的检测精度不好，但通过校正后仍可得到较准确的遮挡边界．-Aimed at the existence of large occluded regions in stereo image pairs obtained from stereo camera pairs，an algorithm which can detect occluded boundary areas based on reliability map is proposed．Firstly，a number of sampled occluded boundary points are obtained by calculating reliability of the disparity on the corresponding sampled scan lines；secondly，the boundary line is calculated by RANSAC method．Theoretical and experimental analyses show that the proposed algorithm gives good boundary detection accuracies for stereo images with complex backgrounds． But for stereo images with homogenous background，results are not good，however the algorithm can also give relatively good accuracies after certain correction．
Date : 2025-12-22 Size : 630kb User : christine
[Graph program] Outlier-Removal-for-Motion-Tracking- DL : 0: 许多特征跟踪算法已被提出为运动分割,但由此而轨迹不一定是正确的。在本文中, 我们提出一种技术用于去除野值的基础上在对知识,正确的轨迹约束的在他们的网域的子空间的。我们第一次合适的子空间的轨迹鲁检测然后用RANSAC移除那些大型后遗症。使用真实的视频序列,我们证明了我们的方法是有效的,即使多个对象移动在场景里。我们也证实分离我们确实是提高精度的方法。 -Many feature tracking algorithms have been proposed for motion segmentation, but the resulting trajectories are not necessarily correct. In this paper, we propose a technique for removing outliers based on the knowledge that correct trajectories are constrained to be in a subspace of their domain. We first fit the subspace to the detected trajectories robustly using RANSAC and then remove those that have large residuals. Using real video sequences, we demonstrate that our method is effective even if multiple objects are moving in the scene. We also confirm that the separation accuracy is indeed improved by our method.
Date : 2025-12-22 Size : 513kb User : 吴俊