RGB-D face recognition using LBP with suitable feature dimension of depth image

RGB-D face recognition using LBP with suitable feature dimension of depth image

This study proposes a robust method for the face recognition from low-resolution red, green, and blue-depth (RGB-D) cameras acquired images which have a wide range of variations in head pose, illumination, facial expression, and occlusion in some cases. The local binary pattern (LBP) of the RGB-D im...

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Bibliographic Details
Main Authors: Hailay Berihu Abebe, Chih-Lyang Hwang
Format: Article
Language:English
Published: Wiley 2019-02-01
Series:IET Cyber-Physical Systems
Subjects:
support vector machines
image colour analysis
face recognition
feature extraction
image classification
stereo image processing
cameras
VAP RGB-D-T
Rank 5 recognition rate
depth image
facial expression
local binary pattern
facial features
error correcting output codes
RGB-D face recognition
feature dimension
low-resolution red-green-blue-depth cameras
RGB-D cameras
multiclass support vector machines
MSVM
online classification
IIIT-D RGB-D database
LBP-RGB-D-MSVM database
EURECOM database
two-dimensional face recognition
3D face recognition
time 62.0 ms
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5045

Internet

https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5045

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