3D face recognition based on local shape patterns and sparse representation classifier

Authors:
Di Huang;Karima Ouji;Mohsen Ardabilian;Yunhong Wang;Liming Chen
Affiliations:
LIRIS Laboratory, CNRS, Ecole Centrale Lyon, Lyon, France;LIRIS Laboratory, CNRS, Ecole Centrale Lyon, Lyon, France;LIRIS Laboratory, CNRS, Ecole Centrale Lyon, Lyon, France;School of Computer Science and Engineering, Beihang University, Beijing, China;LIRIS Laboratory, CNRS, Ecole Centrale Lyon, Lyon, France
Venue:
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Year:
2011

Citing 24
Cited 2

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Surface shape and curvature scales

Image and Vision Computing
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature-Based Face Surface Recognition Using Spherical Correlation - Principal Directions for Curved Object Recognition

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
3D Human Face Recognition Using Point Signature

FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Face recognition: A literature survey

ACM Computing Surveys (CSUR)
Three-Dimensional Face Recognition

International Journal of Computer Vision
Matching 2.5D Face Scans to 3D Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing 3D Face Recognition By Mimics Segmentation

ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 03
Three-Dimensional Face Recognition Using Shapes of Facial Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
2D and 3D face recognition: A survey

Pattern Recognition Letters
Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition

International Journal of Computer Vision
3D Face Recognition Evaluation on Expressive Faces Using the IV2 Database

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Robust Face Recognition via Sparse Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Face Recognition Using R-ICP and Geodesic Coupled Approach

MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Automatic 3D face recognition from depth and intensity Gabor features

Pattern Recognition
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition

Computer Vision and Image Understanding
Component-based face recognition with 3D morphable models

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A discriminative feature space for detecting and recognizing faces

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning to fuse 3d+2d based face recognition at both feature and decision levels

AMFG'05 Proceedings of the Second international conference on Analysis and Modelling of Faces and Gestures
A survey of 3d face recognition methods

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
An introduction to biometric recognition

IEEE Transactions on Circuits and Systems for Video Technology

meshSIFT: Local surface features for 3D face recognition under expression variations and partial data

Computer Vision and Image Understanding
Expression-robust 3D face recognition via weighted sparse representation of multi-scale and multi-component local normal patterns

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years, 3D face recognition has been considered as a major solution to deal with these unsolved issues of reliable 2D face recognition, i.e. illumination and pose variations. This paper focuses on two critical aspects of 3D face recognition: facial feature description and classifier design. To address the former one, a novel local descriptor, namely Local Shape Patterns (LSP), is proposed. Since LSP operator extracts both differential structure and orientation information, it can describe local shape attributes comprehensively. For the latter one, Sparse Representation Classifier (SRC) is applied to classify these 3D shape-based facial features. Recently, SRC has been attracting more and more attention of researchers for its powerful ability on 2D image-based face recognition. This paper continues to investigate its competency in shape-based face recognition. The proposed approach is evaluated on the IV2 3D face database containing rich facial expression variations, and promising experimental results are achieved which prove its effectiveness for 3D face recognition and insensitiveness to expression changes.