Geometrical and Visual Feature Quantization for 3D Face Recognition

被引：0

作者：

Hariri, Walid ^{[1
,2
]}

Tabia, Hedi ^{[1
]}

Farah, Nadir ^{[2
]}

Declercq, David ^{[1
]}

Benouareth, Abdallah ^{[2
]}

机构：

[1] Univ Cergy Pontoise, CNRS, ETIS, ENSEA,UMR 8051, Cergy Pontoise, France

[2] Badji Mokhtar Annaba Univ, Comp Sci Dept, Labged Lab, Annaba, Algeria

来源：

PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2017), VOL 5 | 2017年

关键词：

LBP; HoS; Bag-of-Features; Codebook; Depth Image; Term Vector;

D O I：

10.5220/0006101701870193

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an efficient method for 3D face recognition based on vector quantization of both geometrical and visual proprieties of the face. The method starts by describing each 3D face using a set of orderless features, and use then the Bag-of-Features paradigm to construct the face signature. We analyze the performance of three well-known classifiers: the Naive Bayes, the Multilayer perceptron and the Random forests. The results reported on the FRGCv2 dataset show the effectiveness of our approach and prove that the method is robust to facial expression.

引用

页码：187 / 193

页数：7

共 50 条

[1] 3D face recognition based on geometrical measurement
Zhou, MQ
Liu, XN
Geng, GH
ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2004, 3338 : 244 - 249
[2] 3D SPARSE QUANTIZATION FOR FEATURE LEARNING IN ACTION RECOGNITION
Zhao, Yang
Cheng, Hong
Yang, Lu
2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING, 2015, : 263 - 267
[3] Local feature based 3D face recognition
Lee, Y
Song, H
Yang, U
Shin, H
Sohn, K
AUDIO AND VIDEO BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2005, 3546 : 909 - 918
[4] 3D Face Recognition by Collaborative Representation Based on Face Feature
Zang, Huaijuan
Zhan, Shu
Zhang, Mingjun
Zhao, Jingjing
Liang, Zhicheng
BIOMETRIC RECOGNITION (CCBR 2014), 2014, 8833 : 182 - 190
[5] Feature Extraction and Discriminating Feature Selection for 3D Face Recognition
Gunlu, Goeksel
Bilge, Hasan S.
2009 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES, 2009, : 44 - +
[6] Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition
Cirrincione, G.
Marcolin, F.
Spada, S.
Vezzetti, E.
QUANTIFYING AND PROCESSING BIOMEDICAL AND BEHAVIORAL SIGNALS, 2019, 103 : 253 - 264
[7] Integration of local and global geometrical cues for 3D face recognition
Ai-Osaimi, F. R.
Bennamoun, M.
Mian, A.
PATTERN RECOGNITION, 2008, 41 (03) : 1030 - 1040
[8] Multiscale 3D feature extraction and matching with an application to 3D face recognition
Fadaifard, Hadi
Wolberg, George
Haralick, Robert
GRAPHICAL MODELS, 2013, 75 : 157 - 176
[9] 3D Transformation Based Feature Extraction and Selection for 3D Face Recognition
Gunlu, Goksel
Bilge, Hasan Sakir
2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2, 2009, : 674 - +
[10] A survey of local feature methods for 3D face recognition
Soltanpour, Sima
Boufama, Boubakeur
Wu, Q. M. Jonathan
PATTERN RECOGNITION, 2017, 72 : 391 - 406

← 1 2 3 4 5 →