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Signature of position angles histograms for 3D object recognition
Lu RR(鲁荣荣); Zhu F(朱枫); Hao YM(郝颖明); Cai HY(蔡慧英); Zhao YS(赵银帅)
作者部门光电信息技术研究室
会议名称9th International Conference on Digital Image Processing, ICDIP 2017
会议日期May 19, 2017 - May 22, 2017
会议地点Hong Kong, China
会议录名称Proceedings of SPIE, Ninth International Conference on Digital Image Processing (ICDIP 2017)
出版者SPIE
出版地Bellingham, WA
2017
页码1-7
收录类别EI ; CPCI(ISTP)
EI收录号20174104255113
WOS记录号WOS:000412113300147
产权排序1
ISSN号0277-786X
ISBN号978-1-5106-1304-1
关键词Local Surface Feature Local Reference Frame 3d Object Recognition
摘要This paper presents a robust and rotation invariant local surface descriptor by encoding the position angles of neighboring points with a stable and unique local reference frame (LRF) into a 1D histogram. The whole procedure includes two stages: the first stage is to construct a unique LRF by performing eigenvalue decomposition on the covariance matrix formed using all the neighboring points on the local surface. On the second stage, the sphere support field of a key point was divided along the radius into several sphere shells which is similar with the Signature of Histograms OrienTations (SHOT). In each sphere shell, we calculate the cosine of the angles between the neighboring points and the x-axis, z-axis respectively to form two 1D histograms. Finally, all the 1D histograms were stitched together followed by a normalization to generate the local surface descriptor. Experiment results show that our proposed local feature descriptor is robust to noise and varying mesh-resolutions. Moreover, our local feature descriptor based 3D object recognition algorithm achieved a high average recognition rate of 98.9% on the whole UWA dataset.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21053
专题光电信息技术研究室
通讯作者Lu RR(鲁荣荣)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, 114 Nanta Street, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, 110016, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China
推荐引用方式
GB/T 7714
Lu RR,Zhu F,Hao YM,et al. Signature of position angles histograms for 3D object recognition[C]. Bellingham, WA:SPIE,2017:1-7.
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