Application of Locally Invariant Robust PCA for Underwater Image Recognition

Application of Locally Invariant Robust PCA for Underwater Image Recognition

Recently, many PCA with robust low-dimensional representation models have been applied in imaging. However, most models ignore the manifold geometry of the data and fail to minimize the reconstruction error. Here, a novel robust PCA structure, locally invariant robust principal component analysis (L...

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Bibliographic Details
Main Authors: Pengfei Bi, Xue Du
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Manifold geometry
principal component analysis
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underwater image recognition
Online Access:https://ieeexplore.ieee.org/document/9352733/

Internet

https://ieeexplore.ieee.org/document/9352733/

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