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Simple and efficient improvement of spin image for three-dimensional object recognition
Lu RR(鲁荣荣); Zhu F(朱枫); Hao YM(郝颖明); Wu QX(吴清潇)
作者部门光电信息技术研究室
发表期刊Optical Engineering
ISSN0091-3286
2016
卷号55期号:11页码:1-11
收录类别SCI ; EI
EI收录号20164703039012
WOS记录号WOS:000390668700023
产权排序1
摘要This paper presents a highly distinctive and robust local three-dimensional (3-D) feature descriptor named longitude and latitude spin image (LLSI). The whole procedure has two modules: local reference frame (LRF) definition and LLSI feature description. We employ the same technique as Tombari to define the LRF. The LLSI feature descriptor is obtained by stitching the longitude and latitude (LL) image to the original spin image vertically, where the LL image was generated similarly with the spin image by mapping a two-tuple (θ,φ) into a discrete two-dimensional histogram. The performance of the proposed LLSI descriptor was rigorously tested on a number of popular and publicly available datasets. The results showed that our method is more robust with respect to noise and varying mesh resolution than existing techniques. Finally, we tested our LLSI-based algorithm for 3-D object recognition on two popular datasets. Our LLSI-based algorithm achieved recognition rates of 100%, 98.2%, and 96.2%, respectively, when tested on the Bologna, University of Western Australia (UWA) (up to 84% occlusion), UWA datasets (all). Moreover, our LLSI-based algorithm achieved 100% recognition rate on the whole UWA dataset when generating the LLSI descriptor with the LRF proposed by Guo.
语种英语
WOS标题词Science & Technology ; Physical Sciences
WOS类目Optics
关键词[WOS]SURFACE ; SCENES
WOS研究方向Optics
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文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/19422
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, 114 Nanta Street, Shenyang, Liaoning, 110016, China
2.University of Chinese Academy of Sciences, 19 Yuquan Street, Beijing 100049, China
3.Key Laboratory of Image Understanding and Computer Vision, 114 Nanta Street, Shenyang, Liaoning, 110016, China
4.Chinese Academy of Sciences, Key Laboratory of Optical-Electronic Information, 114 Nanta Street, Shenyang, Liaoning, 110016, China
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GB/T 7714
Lu RR,Zhu F,Hao YM,et al. Simple and efficient improvement of spin image for three-dimensional object recognition[J]. Optical Engineering,2016,55(11):1-11.
APA Lu RR,Zhu F,Hao YM,&Wu QX.(2016).Simple and efficient improvement of spin image for three-dimensional object recognition.Optical Engineering,55(11),1-11.
MLA Lu RR,et al."Simple and efficient improvement of spin image for three-dimensional object recognition".Optical Engineering 55.11(2016):1-11.
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