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Research on the Application of Face Recognition Technology in the Intelligent Robot

Author: HanGongEn
Tutor: LiuZhiJing；ZuoGuoYong
School: Xi'an University of Electronic Science and Technology
Course: Computer technology
Keywords: Face Detection Face Recognition Humanoid Robot BP Neural Network Network Classifier
CLC: TP242.6
Type: Master's thesis
Year: 2009
Downloads: 119
Quote: 0
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Abstract


The generalized face recognition actually includes a series of correlative technology which is used to construct the face recognition system, including the gathering of face image, face localization, the pretreatment of face recognition, identity confirmation as well as identity search and so on; But in a narrow sense, face recognition particularly refers to the technology or system of carrying on the identity confirmation or the identity search using face. The research contents of this article are the technologies of the face examination and the face recognition, which are of the generalized face recognition methods. The robot technology of imitating the human is developing rapidly at present, there have been many products which have already entered the human’s practical life, it is one of the key technologies of the human and the machine coexisting friendly that the natural alternation between the robot and the human. The use of face recognition technology can effectively improve the friendly robot and human interactive capacity. The system can recognize the face which has been existent and gather the face automatically which is inexistent, which can strengthen the learning capability of the robot. The research of this paper carries on the in-being hardware platform, the robot uses Shanghai Guangmaoda company’s AS-R robot platform, with the 1,300,000 picture elements cameras which is the main tool in the video gathering.In this paper, through face detection and recognition algorithm analysis, comparing the results, choose a better way to establish a face recognition systems with VC++6.0 programming. The system including:face detection and segmentation module, Image pre-processing module, feature extraction and selection modules, face recognition module based on improved BP neural network algorithm. Using the open interface provided by the robot of our school’s laboratory, the system can be transplanted to the robot.The robot can be quickly carried out the face detection and recognition. Due to the characteristics of the face by a greater impact on climate change, this paper is limited to studies of specific laboratory environment, the research of this paper is only limited in the specific laboratory environment.The main work in this paper is the unification between the face recognition technology and the robot technology, it transplants the face recognition technology to the humanoid robot, carrying out the friendly interaction between the man and the machine, and promoting the robot to enter the people’s daily life as soon as possible.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Robotics > Robot > Intelligent robots
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