Shape retrieval by using multi-scale angle-based representation and dynamic label propagation

Shape retrieval by using multi-scale angle-based representation and dynamic label propagation

To improve the robustness and discrimination power of the triangle-area representation, a novel shape matching method based on multi-scale angle representation is proposed in this study. By analysing the configurations of different sample points from each shape contour, shape descriptors are constru...

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Bibliographic Details
Main Authors: Yanxia Yu, Danchen Zheng, Liang Zhao, Chuang Sun, Xiang Li, Yan Zhuang
Format: Article
Language:English
Published: Wiley 2020-11-01
Series:IET Cyber-systems and Robotics
Subjects:
learning (artificial intelligence)
shape recognition
image matching
image representation
dynamic programming
feature extraction
distance learning
image retrieval
dynamic label propagation
robustness
discrimination power
triangle-area representation
shape matching method
multiscale angle representation
different sample points
shape contour
shape descriptors
space angles
different scale levels
shape representation
multiscale information
shape distance
feature matching step
shape retrieval results
pairwise shape distances
previous distance learning methods
authors method
different shape databases
multiscale angle-based representation
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0044

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-csr.2020.0044

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