Three-dimensional object recognition using an extensible local surface descriptor
Wu QX(吴清潇); Zhu F(朱枫); Lu RR(鲁荣荣); Hao YM(郝颖明)
刊名OPTICAL ENGINEERING
2017
卷号56期号:12页码:1-13
关键词three-dimensional object recognition local feature local reference frame photometric information
ISSN号0091-3286
通讯作者Zhu F(朱枫)
产权排序1
中文摘要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)
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Optics
研究领域[WOS]Optics
关键词[WOS]CLUTTERED SCENES ; SPACETIME STEREO ; REPRESENTATION ; SIGNATURES ; ALGORITHM ; IMAGES ; SHAPE
收录类别SCI ; EI
语种英语
WOS记录号WOS:000419965800021
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/21507]  
专题沈阳自动化研究所_光电信息技术研究室
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, China
3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, China
4.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Wu QX,Zhu F,Lu RR,et al. Three-dimensional object recognition using an extensible local surface descriptor[J]. OPTICAL ENGINEERING,2017,56(12):1-13.
APA Wu QX,Zhu F,Lu RR,&Hao YM.(2017).Three-dimensional object recognition using an extensible local surface descriptor.OPTICAL ENGINEERING,56(12),1-13.
MLA Wu QX,et al."Three-dimensional object recognition using an extensible local surface descriptor".OPTICAL ENGINEERING 56.12(2017):1-13.
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