Displacement template with divide-&-conquer algorithm for significantly improving descriptor based face recognition approaches

Authors:
Liang Chen;Ling Yan;Yonghuai Liu;Lixin Gao;Xiaoqin Zhang
Affiliations:
Wenzhou University, China,University of Northern British Columbia, Canada;University of Northern British Columbia, Canada;Aberystwyth University, UK;Wenzhou University, China;Wenzhou University, China
Venue:
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Year:
2012

Citing 13
Cited 1

The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Online Tutoring System for Language Translation

IEEE MultiMedia
Overview of the Face Recognition Grand Challenge

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Face Description with Local Binary Patterns: Application to Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of faces in unconstrained environments: a comparative study

EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Enhanced local texture feature sets for face recognition under difficult lighting conditions

AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Single image subspace for face recognition

AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
A robust and scalable approach to face identification

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
SIFT Flow: Dense Correspondence across Scenes and Its Applications

IEEE Transactions on Pattern Analysis and Machine Intelligence
Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition

IEEE Transactions on Image Processing
Face Verification Using the LARK Representation

IEEE Transactions on Information Forensics and Security

Block LBP displacement based local matching approach for human face recognition

ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled blocks; each block pile consists of a few heavily overlapped blocks from the face image. An ensemble of blocks, one from each pile, is taken as a candidate image of the face. When a descriptor based approach is used, we are able to generate a displacement description template for the face by replacing each block in the template with its local description, where a concatenation of the local descriptions of the blocks, one from each pile, is taken to be a candidate description of the face. Using the description template together with a divide-and-conquer algorithm for computing the similarities between description templates, we have demonstrated the significantly improved performance of LBP, TPLBP and FPLBP templates over original LBP, TPLBP and FPLBP approaches by the experiments on benchmark face databases.