SIA OpenIR  > 光电信息技术研究室
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)
Department光电信息技术研究室
Source PublicationOPTICAL ENGINEERING
ISSN0091-3286
2017
Volume56Issue:12Pages:1-13
Indexed BySCI ; EI
EI Accession number20180304652587
WOS IDWOS:000419965800021
Contribution Rank1
KeywordThree-dimensional Object Recognition Local Feature Local Reference Frame Photometric Information
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)
Language英语
WOS SubjectOptics
WOS KeywordCLUTTERED SCENES ; SPACETIME STEREO ; REPRESENTATION ; SIGNATURES ; ALGORITHM ; IMAGES ; SHAPE
WOS Research AreaOptics
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21507
Collection光电信息技术研究室
Corresponding AuthorZhu F(朱枫)
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Three-dimensional ob(3861KB)期刊论文作者接受稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Lu RR(鲁荣荣)]'s Articles
[Zhu F(朱枫)]'s Articles
[Wu QX(吴清潇)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Lu RR(鲁荣荣)]'s Articles
[Zhu F(朱枫)]'s Articles
[Wu QX(吴清潇)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Lu RR(鲁荣荣)]'s Articles
[Zhu F(朱枫)]'s Articles
[Wu QX(吴清潇)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Three-dimensional object recognition using an extensible local surface descriptor.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.