Pose-variant face recognition based on an improved Lucas-Kanade algorithm

Kai-Tai Song*, Shih Chieh Wang, Meng Ju Han, Ching Yi Kuo

*Corresponding author for this work

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

2 Scopus citations

Abstract

In this paper, a pose-variant face recognition system is presented for study of human-robot interaction design. An iterative fitting algorithm is proposed to extract feature-point positions based on active appearance model (AAM). Comparing with the traditional Lucas-Kanade algorithm, the proposed iterative algorithm improves the capability of correct convergence as a larger variation of head posture occurs. After obtaining the location of feature points, the dimension of texture model is reduced and then sent to a back propagation neural network (BPNN) to recognize family-members. The proposed pose-variant face recognition system has been implemented on an embedded image processing system and integrated with a pet robot. Experimental results show that the robot can interact with a person in a responding manner. Tested with the database from UMIST and the database built in the lab, the proposed method achieved average recognition rates of 91.0% and 95.6% respectively.

Original languageEnglish
Title of host publication2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings
Pages87-92
Number of pages6
DOIs
StatePublished - 1 Dec 2009
Event2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Tokyo, Japan
Duration: 23 Nov 200925 Nov 2009

Publication series

NameProceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
ISSN (Print)2162-7568
ISSN (Electronic)2162-7576

Conference

Conference2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009
CountryJapan
CityTokyo
Period23/11/0925/11/09

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    Song, K-T., Wang, S. C., Han, M. J., & Kuo, C. Y. (2009). Pose-variant face recognition based on an improved Lucas-Kanade algorithm. In 2009 IEEE Workshop on Advanced Robotics and Its Social Impacts, ARSO2009 - Workshop Proceedings (pp. 87-92). [5587066] (Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO). https://doi.org/10.1109/ARSO.2009.5587066