IMR OpenIR
Three-dimensional object recognition using an extensible local surface descriptor
Lu, Rongrong1,2,3,4; Zhu, Feng1,3,4; Wu, Qingxiao1,3,4; Hao, Yingming1,3,4
Corresponding AuthorZhu, Feng(fzhu@sia.cn)
2017-12-01
Source PublicationOPTICAL ENGINEERING
ISSN0091-3286
Volume56Issue:12Pages:13
AbstractWe 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)
Keywordthree-dimensional object recognition local feature local reference frame photometric information
DOI10.1117/1.OE.56.12.123109
Indexed BySCI
Language英语
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000419965800021
PublisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/127232
Collection中国科学院金属研究所
Corresponding AuthorZhu, Feng
Affiliation1.Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Key Lab Optoelect Informat Proc, Shenyang, Liaoning, Peoples R China
4.Key Lab Image Understanding & Comp Vis, Shenyang, Liaoning, Peoples R China
Recommended Citation
GB/T 7714
Lu, Rongrong,Zhu, Feng,Wu, Qingxiao,et al. Three-dimensional object recognition using an extensible local surface descriptor[J]. OPTICAL ENGINEERING,2017,56(12):13.
APA Lu, Rongrong,Zhu, Feng,Wu, Qingxiao,&Hao, Yingming.(2017).Three-dimensional object recognition using an extensible local surface descriptor.OPTICAL ENGINEERING,56(12),13.
MLA Lu, Rongrong,et al."Three-dimensional object recognition using an extensible local surface descriptor".OPTICAL ENGINEERING 56.12(2017):13.
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