3D interest point detection using balance-distortion oriented selection | |
Jiang Y(姜钰)1,2,3,4; Li X(李想)1,2,4; Liu YH(刘耀华)1,2,3,4; Wang W(王伟)1,2,3,4; Du JS(杜劲松)1,2,4 | |
刊名 | VISUAL COMPUTER |
2022 | |
页码 | 1-15 |
关键词 | 3D interest point detection Local topological structure Balance-distortion |
ISSN号 | 0178-2789 |
产权排序 | 1 |
英文摘要 | Interest point detection is a challenging problem in 3D objects. Compared to traditional corner detection based on the curvature, this paper proposes a novel method that quantifies the balance and uniformity of local geometric structures based on the distribution of vertex neighborhoods. We first define the neighborhoods of vertices and structure them within the two-ring, instead of constructing the overall mesh, so as to avoid the interference between the neighborhoods of different vertices. Then we introduce the concept balance-distortion to describe the geometric features of the local structure. The experimental results show that the proposed algorithm is robust against noise and invariant to geometric transformation. In addition, compared with the corner detection, more feature points that do not satisfy the balance and direction uniformity are detected, and the distribution of interest point is more uniform. |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDC04000000] ; National Natural Science Foundation of China[62073312] ; Key Research and Development Program of LiaoNing[2020JH2/10100023] ; China Aero-engine Independent Innovation Special Fund Project[ZZCX-2018-035] ; LiaoNing Revitalization Talents Program ; K.C. Wong Education Foundation |
WOS关键词 | SALIENCY |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000741634600001 |
资助机构 | Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDC04000000] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [62073312] ; Key Research and Development Program of LiaoNing [2020JH2/10100023] ; China Aero-engine Independent Innovation Special Fund Project [ZZCX-2018-035] ; LiaoNing Revitalization Talents Program ; K.C. Wong Education Foundation |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30259] |
专题 | 沈阳自动化研究所_智能检测与装备研究室 |
通讯作者 | Li X(李想) |
作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory on Intelligent Detection and Equipment Technology of Liaoning Province, Shenyang 100179, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China |
推荐引用方式 GB/T 7714 | Jiang Y,Li X,Liu YH,et al. 3D interest point detection using balance-distortion oriented selection[J]. VISUAL COMPUTER,2022:1-15. |
APA | Jiang Y,Li X,Liu YH,Wang W,&Du JS.(2022).3D interest point detection using balance-distortion oriented selection.VISUAL COMPUTER,1-15. |
MLA | Jiang Y,et al."3D interest point detection using balance-distortion oriented selection".VISUAL COMPUTER (2022):1-15. |
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