@article{MA2005, 
author = {Yong MA and Xiaoqing DING},
title = {Real-Time Multi-View Face Detection and Pose Estimation Based on Cost-Sensitive AdaBoost},
year = {2005},
journal = {Tsinghua Science and Technology},
volume = {10},
number = {2},
pages = {152-157},
keywords = {pose estimation, AdaBoost, face detection, multi-view face detection},
url = {https://www.sciopen.com/article/10.1016/S1007-0214(05)70047-X},
doi = {10.1016/S1007-0214(05)70047-X},
abstract = {Locating multi-view faces in images with a complex background remains a challenging problem. In this paper, an integrated method for real-time multi-view face detection and pose estimation is presented. A simple-to-complex and coarse-to-fine view-based detector architecture has been designed to detect multi-view faces and estimate their poses efficiently. Both the pose estimators and the view-based face/nonface detectors are trained by a cost-sensitive AdaBoost algorithm to improve the generalization ability. Experimental results show that the proposed multi-view face detector, which can be constructed easily, gives more robust face detection and pose estimation and has a faster real-time detection speed compared with other conventional methods.}
}