Learning local shape descriptors for computing non-rigid dense correspondence
文献类型：期刊论文
| 作者 | Jianwei Guo ; Hanyu Wang; Zhanglin Cheng; Xiaopeng Zhang; Dong-Ming Yan
|
| 刊名 | computationalvisualmedia
 |
| 出版日期 | 2020 |
| 卷号 | 6期号:1页码:95-112 |
| ISSN号 | 2096-0433 |
| DOI | 10.1007/s41095-020-0163-y |
| 英文摘要 | A discriminative local shape descriptor plays an important role in various applications. In this paper, we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes. We use local “geometry images” to encode the multi-scale local features of a point, via an intrinsic parameterization method based on geodesic polar coordinates. This new parameterization provides robust geometry images even for badly-shaped triangular meshes. Then a triplet network with shared architecture and parameters is used to perform deep metric learning; its aim is to distinguish between similar and dissimilar pairs of points. Additionally, a newly designed triplet loss function is minimized for improved, accurate training of the triplet network. To solve the dense correspondence problem, an efficient sampling approach is utilized to achieve a good compromise between training performance and descriptor quality. During testing, given a geometry image of a point of interest, our network outputs a discriminative local descriptor for it. Extensive testing of non-rigid dense shape matching on a variety of benchmarks demonstrates the superiority of the proposed descriptors over the state-of-the-art alternatives. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/41486]  |
| 专题 | 模式识别国家重点实验室_三维可视计算 |
| 作者单位 | 1.Chinese Academy of Sciences 2.University of Maryland-College Park 3.Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Jianwei Guo,Hanyu Wang,Zhanglin Cheng,et al. Learning local shape descriptors for computing non-rigid dense correspondence[J]. computationalvisualmedia,2020,6(1):95-112. |
| APA | Jianwei Guo,Hanyu Wang,Zhanglin Cheng,Xiaopeng Zhang,&Dong-Ming Yan.(2020).Learning local shape descriptors for computing non-rigid dense correspondence.computationalvisualmedia,6(1),95-112. |
| MLA | Jianwei Guo,et al."Learning local shape descriptors for computing non-rigid dense correspondence".computationalvisualmedia 6.1(2020):95-112. |
入库方式： OAI收割
来源：自动化研究所
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