Local Feature Hashing With Binary Auto-Encoder for Face Recognition

Local Feature Hashing With Binary Auto-Encoder for Face Recognition

The learning-based hashing has recently made encouraging progress in face recognition. However, most existing hashing methods disregard the discrete constraint during optimization, inducing the accumulated quantization errors. In this work, we develop an effective learning-based hashing model, namel...

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Bibliographic Details
Main Authors: Jing Chen, Yunxiao Zu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Binary auto-encoder
binary feature
discrete optimization
face recognition
feature hashing
Online Access:https://ieeexplore.ieee.org/document/8995586/

Internet

https://ieeexplore.ieee.org/document/8995586/

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