Face Location with LBP Scale Transform

摘要：

Local Binary Patterns (LBP) is an effective texture description operator and the histogram that it generates has been proved to be a very useful texture feature to adapt to rotation and illumination. Using the LBP features as feature vectors in adaBoost classifier for target identification has become a trend. But LBP is bound by the scale transformation, so it is not widely used in adaBoost face detector. This paper proposes a scale transform formula for Local Binary Patterns. Based on this formula, LBP features extracted from single fixed size templates can be trained to identify any size of faces. This paper also proposes a method to obtain particular detecting sub-areas called binary ring-shaped sub-windows, which can keep the LBP features rotation invariant. Experimental results show that the method we proposed here is feasible in face detecting.

作者: Yunlong Wei Mei Xie Rui Sun Tao Li

作者单位: School of Electronic Engineering, University of Electronic Science and Technology of China ChengDu, School of Communication and Information Engineering University of Electronic Science and Technology

会议类型: 国际会议

会议名称: 2010 International Conference on Communications,Circuits and Systems(2010年通信、电路与系统国际会议)

会议地点: 成都

会议语种:英文

页码: 347-350

在线出版日期: 2010-06-28（万方平台首次上网日期，不代表论文的发表时间）