SHREC'20: Shape correspondence with non-isometric deformations
SHREC'20: Shape correspondence with non-isometric deformations
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DOI：
10.1016/j.cag.2020.08.008
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发表时间：
2020-11-01
影响因子：
2.5
通讯作者：
Yang, Jingyu
中科院分区：
文献类型：
--
作者：
Dyke, Roberto M.;Lai, Yu-Kun;Yang, Jingyu
估计两个形状之间的对应关系一直是几何处理中具有挑战性的问题。大多数当前方法假设变形是近等距的，然而情况往往并非如此。对于本文，已经策划了一系列不同动物的形状，其中动物的部分（例如，嘴、尾巴和耳朵）对应，但自然地是非等距的。通过要求三位专家独立标记每个模型上相对于先前标记的参考模型的对应点来建立地面实况对应。我们采用一种算法策略，为每个对应关系选择一个代表所建议标签的点。一种新的技术，其特征的稀疏性和分布的对应被用来衡量十个形状对应方法的性能。(C)2020年，任作家。爱思唯尔有限公司出版
Estimating correspondence between two shapes continues to be a challenging problem in geometry processing. Most current methods assume deformation to be near-isometric, however this is often not the case. For this paper, a collection of shapes of different animals has been curated, where parts of the animals (e.g., mouths, tails & ears) correspond yet are naturally non-isometric. Ground-truth correspondences were established by asking three specialists to independently label corresponding points on each of the models with respect to a previously labelled reference model. We employ an algorithmic strategy to select a single point for each correspondence that is representative of the proposed labels. A novel technique that characterises the sparsity and distribution of correspondences is employed to measure the performance of ten shape correspondence methods. (C) 2020 The Authors. Published by Elsevier Ltd.