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Three-dimensional object recognition using an extensible local surface descriptor
Lu RR(鲁荣荣); Zhu F(朱枫); Wu QX(吴清潇); Hao YM(郝颖明)
作者部门光电信息技术研究室
关键词Three-dimensional Object Recognition Local Feature Local Reference Frame Photometric Information
发表期刊OPTICAL ENGINEERING
ISSN0091-3286
2017
卷号56期号:12页码:1-13
收录类别SCI ; EI
EI收录号20180304652587
WOS记录号WOS:000419965800021
产权排序1
摘要We present an extensible local feature descriptor that can encode both geometric and photometric information. We first construct a unique and stable local reference frame (LRF) using the sphere neighboring points of a feature point. Then, all the neighboring points are transformed with the LRF to keep invariance to transformations. The sphere neighboring region is divided into several sphere shells. In each sphere shell, we calculate the cosine values of the point with the x-axis and z-axis. These two values are then mapped into two one-dimensional (1-D) histograms, respectively. Finally, all of the 1-D histograms are concatenated to form the signature of position angles histogram (SPAH) feature. The SPAH feature can easily be extended to a color SPAH (CSPAH) by adding another 1-D histogram generated by the photometric information of each point in each shell. The SPAH and CSPAH were rigorously tested on several common datasets. The experimental results show that both feature descriptors were highly descriptive and robust under Gaussian noise and varying mesh decimations. Moreover, we tested our SPAH-and CSPAH-based three-dimensional object recognition algorithms on four standard datasets. The experimental results show that our algorithms outperformed the state-of-the-art algorithms on these datasets. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
语种英语
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/21507
专题光电信息技术研究室
通讯作者Zhu F(朱枫)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, China
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GB/T 7714
Lu RR,Zhu F,Wu QX,et al. Three-dimensional object recognition using an extensible local surface descriptor[J]. OPTICAL ENGINEERING,2017,56(12):1-13.
APA Lu RR,Zhu F,Wu QX,&Hao YM.(2017).Three-dimensional object recognition using an extensible local surface descriptor.OPTICAL ENGINEERING,56(12),1-13.
MLA Lu RR,et al."Three-dimensional object recognition using an extensible local surface descriptor".OPTICAL ENGINEERING 56.12(2017):1-13.
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