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Development of a Face Verification System for a Home Service Robot
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- Authors
- Woo-Han Yun, Do-Hyung Kim, Ho-Sub Yoon, Young-Jo Cho
- Issue Date
- 2008-06
- Citation
- Advanced Robotics, v.22, no.6, pp.749-760
- ISSN
- 0169-1864
- Publisher
- Taylor and Francis
- Language
- English
- Type
- Journal Article
- Project Code
- 07MI1100, Embedded Component Technology and Standardization for URC, Hwang Dae Hwan
- Abstract
- The robot providing services based on interaction with a human needs a fast verification process that knows whether the user belongs to a family or a guest group for providing the differentiated services to each group member. In this paper, we developed a verification system for one-to-group matching (e.g., user-to-family or user-to-guest) and tested on the database acquired using the robot in an uncontrolled environment. The proposed system consists of three parts: face detection using revised modified census transform and adaboost, feature extraction using multiple principle component analysis, and verification using the aggregating Gaussian mixture model-universal background model. Experimental results show that the proposed system works well on the deteriorated database with a high speed. © 2008 VSP.
- KSP Keywords
- Census Transform, Differentiated services, Face detection, Feature extractioN, Gaussian mixture Model(GMM), Gaussian mixture model-Universal background model, Group matching, High Speed, Principle component analysis(PCA), Verification system, face verification