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Pixel-Line Based Clustering for the 3D Point Cloud Generated by Kinect Depth Map

文献类型： 外文期刊

作者： Qiu, Quan 1 ; Zheng, Wengang 1 ;

作者机构： 1.Beijing Res Ctr Intelligent Equipment Agr, Dept Agr Automat, Beijing 100097, Peoples R China

关键词： clustering;pixel-line based;3D point cloud;Kinect;depth image

期刊名称：2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA)

ISSN：

年卷期： 2013 年

页码：

收录情况： SCI

摘要： A novel pixel-line based clustering algorithm for Kinect depth image data is proposed in this paper. The algorithm first clusters the three-dimensional points belonging to the same pixel row. Then the single row clusters coming from adjacent rows are compared and matched to fulfill the three-dimensional cluster growth. Experiments are carried out with both office scene and greenhouse scene. The clustering results show that the algorithm is good at highlighting small objects but is sensitive to uneven surfaces.

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