基于图形的立体视觉三维多层次感知分割][Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels]

基于图形的立体视觉三维多层次感知分割 Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels


课程网址:	http://videolectures.net/gbr07_moreno_gbps/
主讲教师:	Rodrigo Moreno
开课单位:	塔拉戈纳大学
开课时间:	2007-07-12
课程语种:	英语
中文简介:	提出了一种基于感知信息的立体视觉噪声三维场景鲁棒分割新技术。低通几何滤波器首先应用于给定的三维点云，以消除噪声。然后采用张量投票算法提取感知几何信息。最后，使用基于图的分段器通过分层应用的区域增长过程来提取场景中存在的不同几何结构。该算法对三目摄像机拍摄的真实三维场景进行了评价。
课程简介:	This paper presents a new technique based on perceptual information for the robust segmentation of noisy 3D scenes acquired by stereo vision. A low-pass geometric ¯lter is ¯rst applied to the given cloud of 3D points to remove noise. The tensor voting algorithm is then applied in order to extract perceptual geometric information. Finally, a graph-based segmenter is utilized for extracting the di®erent geometric structures present in the scene through a region-growing procedure that is applied hierarchically. The proposed algorithm is evaluated on real 3D scenes acquired with a trinocular camera.
关键词:	三维场景; 投票算法; 几何结构
课程来源:	视频讲座网
最后编审:	2019-11-30：lxf
阅读次数:	60

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