May 1, 2018 · In this paper, we present a subspace learning based method, called Multiview Max-Margin Subspace Learning (MMMSL), to learn a common subspace for associating ...
May 1, 2018 · Cross-view gait recognition can be regarded as a domain adaption problem, in which, probe gait to be recognized in one view is different ...
Multiview max-margin subspace learning for cross-view gait ...
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Cross-view gait recognition can be regarded as a domain adaption problem, in which, probe gait to be recognized in one view is different from gallery gaits ...
Multiview max-margin subspace learning for cross-view gait recognition. Xu, W.; Zhu, C.; Wang, Z. Pattern Recognition Letters 107: 75-82. ISSN/ISBN: 0031-0220 ...
May 23, 2022 · Subspace learning projects a different view of a common subspace to measure similarity. Xu et al. [13] presented multiview max-margin subspace ...
May 31, 2024 · In this work, we propose a novel cross-view gait recognition method with two-way similarity learning. Focusing on the relationships between gait ...
Xu et al. [12] proposed a subspace-based multi-view maximum edge subspace learning method. This method simultaneously minimizes intra-class variation and ...
Aug 14, 2021 · Although the cross-view is not addressed explicitly, CNNs can extract more robust gait features, improving the feature representation ability.
Dec 1, 2020 · Subspace learning approaches are designed to solve this issue by projecting cross-view features into a common subspace before recognition.
To better solve the problems, a multi-view gait recognition method using deep convolutional neural network and channel attention mechanism is proposed. Firstly, ...