로봇 환경에서 텐서 부공간 분석기법을 이용한 얼굴인식
Face Recognition Using Tensor Subspace Analysis in Robot Environments
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초록
This paper is concerned with face recognition for human-robot interaction (HRI) in robot environments. For this purpose, we use Tensor Subspace Analysis (TSA) to recognize the user's face through robot camera when robot performs various services in home environments. Thus, the spatial correlation between the pixels in an image can be naturally characterized by TSA. Here we utilizes face database collected in u-robot test bed environments in ETRI. The presented method can be used as a core technique in conjunction with HRI that can naturally interact between human and robots in home robot applications. The experimental results on face database revealed that the presented method showed a good performance in comparison with the well-known methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) in distant-varying environments.
Abstract
This paper is concerned with face recognition for human-robot interaction (HRI) in robot environments. For this purpose, we use Tensor Subspace Analysis (TSA) to recognize the user's face through robot camera when robot performs various services in home environments. Thus, the spatial correlation between the pixels in an image can be naturally characterized by TSA. Here we utilizes face database collected in u-robot test bed environments in ETRI. The presented method can be used as a core technique in conjunction with HRI that can naturally interact between human and robots in home robot applications. The experimental results on face database revealed that the presented method showed a good performance in comparison with the well-known methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) in distant-varying environments.
참고문헌 (11)
- M. Turk, "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, 3(1), pp.71~86 (1991)
- P. N. Belhumeur, "Eigenfaces vs Fisherfaces:recognition using class specific linear projection", IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(7), pp.711~720 (1997)
- X. He, "Tensor subspace analysis", Advances in Neural Information Processing Systems, 18 (2005)
- K. C. Kwak, "Face recognition using an enhanced independent component analysis approach", IEEE Trans. on Neural Networks, 18(2), pp.530~541 (2007)
- 곽근창, "오디오 기반 인간-로봇 상호작용", 전자통신동향분석지, 22(2), pp.31~37 (2007)
- 곽근창, "소프트웨어 로봇을 위 한 인간-로봇 상호작용", 대한전자공학회지, 33(3), pp.309~315 (2006)
- 반규대, "로봇환경의 템플릿 기반 얼굴인식 알고리즘 성능비교", 한국로봇공학 논문지, 2(3), pp.270~274 (2007)
- 곽근창, "u-로봇을 위한 인간-로봇상호작용기술의 연구동향 및 발전전망", Telecommunications Review, 18(3), pp.385~402 (2008), SK텔레콤
- D. H. Kim, "A non-cooperative user authentication system in robot environments", IEEE Trans. on Consumer Electronics, 53(2), pp.804~811 (2007)
- W. H. Yun, "Fast verification system for intelligent robot service", IEEE Trans. on Consumer Electronics, 53(4), pp.1731~1735 (2007)
- Y. Yan, "A novel class-dependence feature analysis method for face recognition", Pattern Recognition Letters, 29, pp.1907~1914 (2008)