Local and Holistic Feature Fusion for Occlusion-Robust 3D Ear Recognition
Occlusion over ear surfaces results in performance degradation of ear registration and recognition systems. In this paper, we propose an occlusion-resistant three-dimensional (3D) ear recognition system consisting of four primary components: (1) an ear detection component, (2) a local feature extrac...
Main Authors: | Qinping Zhu, Zhichun Mu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-11-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/10/11/565 |
Similar Items
-
PointNet++ and Three Layers of Features Fusion for Occlusion Three-Dimensional Ear Recognition Based on One Sample per Person
by: Qinping Zhu, et al.
Published: (2020-01-01) -
Feature-by-feature comparison and holistic processing in unfamiliar face matching
by: Ahmed M. Megreya
Published: (2018-02-01) -
Lightweight Human Ear Recognition Based on Attention Mechanism and Feature Fusion
by: Yanmin Lei, et al.
Published: (2023-07-01) -
Contextual Patch-NetVLAD: Context-Aware Patch Feature Descriptor and Patch Matching Mechanism for Visual Place Recognition
by: Wenyuan Sun, et al.
Published: (2024-01-01) -
A Dense Phase Descriptor for Human Ear Recognition
by: Mohamad Mahmoud Al Rahhal, et al.
Published: (2018-01-01)