Face Recognition and Its Applications to Human-Robot Interaction
|關鍵字:||人臉辨識;家用機器人;人臉追蹤;機器人與人互動;Face Recognition;Home Robot;Face Tracking;Human-Robot Interaction|
In the thesis, a family-member recognition and image tracking system has been developed for a home robot. We proposed a new architecture for face recognition of specific people. In this system each family member has his own RBF neural network. Each neural network only needs to recognize its own member. It does not need to judge other family members. Consequently, the recognition time will not increase as the family member grows. This thesis also develops an algorithm for the detections of multi-face based on division of skin regions. The family-member recognition system and image tracking system has been integrated to a home robot. The experimental results show that the proposed methods have real-time face recognition and tracking performance.
|Appears in Collections:||Thesis|