Development of a Face Verification System for a Home Service Robot
Woo‐han Yun, Do‐Hyung Kim, Ho‐Sub Yoon, Young-Jo Cho · Advanced Robotics · 2008
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.