Improving the face recognition grand challenge baseline performance using color configurations across color spaces

Peichung Shih, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Scopus citations

Abstract

This paper presents a method that applies color information to improve face recognition performance of the Face Recognition Grand Challenge (FRGC) baseline algorithm, also known as the Biometric Experimentation Environment (BEE) baseline algorithm. In particular, we empirically assess the face recognition performance of the BEE baseline algorithm by applying color configurations in the YIQ and the YCbCr color spaces. The color configuration is defined as an individual or a combination of color component images. Experimental results using an FRGC ver .0 dateset containing 1,126 images demonstrate that the YQCr color configuration improves the rank-one face recognition rate of the BEE baseline algorithm from 37% to 70%; when experimenting with an FRGC ver2.0 dataset consisting of 30,702 images, the YQCr color configuration achieves 65% verification rate comparing to the FRGC baseline performance of 12%.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages1001-1004
Number of pages4
DOIs
StatePublished - 2006
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: Oct 8 2006Oct 11 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2006 IEEE International Conference on Image Processing, ICIP 2006
Country/TerritoryUnited States
CityAtlanta, GA
Period10/8/0610/11/06

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint

Dive into the research topics of 'Improving the face recognition grand challenge baseline performance using color configurations across color spaces'. Together they form a unique fingerprint.

Cite this