Elastic Shape Analysis of Planar Objects Using Tensor Field Representations
Elastic Shape Analysis of Planar Objects Using Tensor Field Representations
复制标题
使用张量场表示的平面物体的弹性形状分析
DOI:
10.1007/s10851-021-01047-x
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发表时间:
2021
影响因子:
2
通讯作者:
Srivastava, Anuj
中科院分区:
文献类型:
--
作者:
Zhang, Ruiyi;Srivastava, Anuj
Shape analysis of objects in images is a critical area of research, and several approaches, including those that utilize elastic Riemannian metrics, have been proposed. While elastic techniques for shape analysis of curves are pretty advanced, the corresponding results for higher-dimensional objects (surfaces and disks) are less developed. This paper studies shapes of solid planar objects that are embeddings of a compact domain—a unit square or a unit disk—in. Specifically, it introduces a mathematical representation of objects using tensor fields and uses a re-parametrization-invariant Riemannian metric on these tensor fields to analyze object shapes elastically. The essential contribution here is developing an efficient numerical technique to map tensor fields back to the object space, allowing one to approximate geodesic paths in these objects’ shape spaces. Finally, the paper extends this framework to reach landmark-driven registration and improve geodesic computations. The paper illustrates this framework using several simulated and natural objects.
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DOI:
--
发表时间:
2018
期刊:
Riemannian Geometric Statistics in Medical Image Analysis
影响因子:
--
作者:
Martin Bauer;S. Joshi;K. Modin
通讯作者:
K. Modin
DOI:
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发表时间:
2013
期刊:
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1989
期刊:
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DOI:
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发表时间:
2022
期刊:
Color It True
影响因子:
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作者:
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DOI:
10.3934/jgm.2017005
发表时间:
2016
期刊:
arXiv: Differential Geometry
影响因子:
--
作者:
Alice Le Brigant
通讯作者:
Alice Le Brigant