Use of gradient and normal vectors for face recognition-Reference-Cited by-同舟云学术

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Use of gradient and normal vectors for face recognition

Published:2020-07 Issue:10 Volume:14 Page:2121-2129
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Koc Mehmet¹^ORCID,Ergin Semih²,Gülmezoğlu Mehmet Bilginer²,Edizkan Rifat²,Barkana Atalay³

Affiliation:

1. Department of Electrical and Electronics EngineeringBilecik Seyh Edebali UniversityBilecikTurkey

2. Department of Electrical and Electronics EngineeringEskisehir Osmangazi UniversityEskisehirTurkey

3. Department of Electrical and Electronics EngineeringEskisehir Technical UniversityEskisehirTurkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1128

Reference53 articles.

1. Local Patterns of Gradients for Face Recognition

2. Face recognition using sift features

3. Local Directional Number Pattern for Face Analysis: Face and Expression Recognition

4. Multi-directional local gradient descriptor: A new feature descriptor for face recognition

5. Face recognition using locality sensitive histograms of oriented gradients

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1. CVApool: using null-space of CNN weights for the tooth disease classification;Neural Computing and Applications;2024-05-29

2. Research on Fast Face Recognition Method Based on Double Decision Subspace;Wireless Communications and Mobile Computing;2022-08-23

3. A novel multi-feature fusion deep neural network using HOG and VGG-Face for facial expression classification;Machine Vision and Applications;2022-06-09

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