Face Detection based-on Depth Information Using HOG-LBP

摘要：

　　Face detection is one of the key technology for face information recognition.Currently,face detection is mainly based on the RGB image,which might lead unexpected results when dealing with non-real 2-dimensional face,which printed on clothes and papers.This work proposes a face detection approach based on features of depth image.We used depth camera to obtain the raw depth data,and then mapped it to the 2D image combined with smooth image processing method to get the depth image.An improved HOG-LBP algorithm was designed to profiling the features of face depth,and SVM-light was used for machine learning.Finally,an online video face detection system was accomplished.

关键词： Face Detection Depth Image HOG-LBP SVM Stereovision

作者: Tiemeng Li Wenjun Hou Fei Lyu Yu Lei Chen Xiao

作者单位: Key Laboratory of Network System and Network Culture Beijing University of Posts & Telecommunication School of Digital Media & Design Arts Beijing University of Posts & Telecommunications Beijing, Chin Automation School Beijing University of Posts & Telecommunications Beijing, China School of Computer Science and Technology Beijing University of Posts & Telecommunications Beijing,

会议类型: 国际会议

会议名称: 2016 Sixth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2016)(第六届仪器测量、计算机通信与控制国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 779-784

在线出版日期: 2016-07-21（万方平台首次上网日期，不代表论文的发表时间）