Results 11 to 20 of about 291,539 (260)
Advanced Intelligent Systems, 2023 A generative deep learning approach for shape recognition of an arbitrary object from its acoustic scattering properties is proposed and demonstrated.
Waqas W. Ahmed +4 more
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Marine-Hydraulic-Oil-Particle Contaminant Identification Study Based on OpenCV
Journal of Marine Science and Engineering, 2022 Particulate pollutants mixed in hydraulic oil will lead to the failure of the marine hydraulic system. Nowadays, the current identification methods of particulate pollutants in oil make it challenging to obtain the specific parameters of pollutants.
Chenyong Wang +6 more
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Curvature Bag of Words Model for Shape Recognition
IEEE Access, 2019 The object shape recognition of nonrigid transformations and local deformations is a difficult problem. In this paper, a shape recognition algorithm based on the curvature bag of words (CBoW) model is proposed to solve that problem. First, an approximate
Jiexian Zeng +4 more
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The Gromov–Wasserstein Distance: A Brief Overview
Axioms, 2014 We recall the construction of the Gromov–Wasserstein distance and concentrate on quantitative aspects of the definition.
Facundo Mémoli
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Mathematics, 2021 Rigid shapes should be naturally compared up to rigid motion or isometry, which preserves all inter-point distances. The same rigid shape can be often represented by noisy point clouds of different sizes.
Yury Elkin, Vitaliy Kurlin
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Supramolecular and Liquid Crystalline Contributions to the Assembly of Myofibril
Molecules, 2020 We compare steps observed during the fibrillogenesis of myofibrils with the sequence of steps predictable by a recent analysis of the structurization and functioning of striated muscles.
Alberto Ciferri, Alvin L. Crumbliss
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Shape retrieval by using multi-scale angle-based representation and dynamic label propagation
IET Cyber-systems and Robotics, 2020 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.
Yanxia Yu +6 more
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TriangleConv: A Deep Point Convolutional Network for Recognizing Building Shapes in Map Space
ISPRS International Journal of Geo-Information, 2021 The classification and recognition of the shapes of buildings in map space play an important role in spatial cognition, cartographic generalization, and map updating.
Chun Liu +5 more
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A novel shape classification method using 1‐D convolutional neural networks
IET Image Processing, 2023 Most of the shape classification methods are based on a single closed contour. However, practical shapes always have complex contours, for example, a combination of multiple open contours. How to accurately identify complex shapes is an unsolved problem.
Xun Zhang +4 more
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Remote Sensing, 2022 Remote sensing target recognition has always been an important topic of image analysis, which has significant practical value in computer vision. However, remote sensing targets may be largely occluded by obstacles due to the long acquisition distance ...
Zekun Li, Baolong Guo, Fanjie Meng
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