Title :
Face detection and recognition method based on skin color and depth information
Author :
Qian, Junfeng ; Ma, Shiwei ; Hao, Zhonghua ; Shen, Yujie
Author_Institution :
Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ., Shanghai, China
Abstract :
An improved face detection and recognition method based on information of skin color and depth obtained by binocular vision system was proposed in this paper. With this method, the face area was detected firstly by using Adaboost algorithm. Afterwards, the real face was distinguished from fake one by using the skin color information and the depth data. Then, by using PCA algorithm, a specific face can be recognized by comparing the principal components of the current face to those of the known individuals in a facial database built in advance. This method was applied to a service robot equipped with a binocular camera system for real-time face detection and recognition experiment, and satisfactory results were obtained.
Keywords :
computer vision; face recognition; image colour analysis; learning (artificial intelligence); object detection; principal component analysis; Adaboost algorithm; PCA algorithm; binocular camera system; binocular vision system; depth information; face area; face detection; face recognition; facial database; service robot; skin color; Cameras; Face; Face detection; Face recognition; Image color analysis; Real time systems; Skin; binocular camera vision; depth data; face detection; face recognition;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768500
