Spatial Merging for Face Detection
Spatial Merging for Face Detection
复制标题
用于人脸检测的空间合并
DOI：
10.1109/sice.2006.315782
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
M. Okutomi
中科院分区：
文献类型：
--
作者：
H. Takatsuka;M. Tanaka;M. Okutomi
Face detection is a useful technique in computer vision. Many face detectors have been developed in the literature. These detectors to evaluate a face likelihood of a given sub-window. The sub-window must be scanned through an input image to detect faces. Since the detectors evaluate the scanned sub-windows independently, non-faces with high face likelihood are often misdetected. In this paper, we propose a novel face detection algorithm which explicitly uses difference of face likelihood distribution between faces and non-faces. The proposed algorithm can correctly classify the non-faces misdetected by the existing algorithm. The face likelihood distribution is generated and integrated to emphasize the difference between faces and non-faces. Experiments with pre-scanned data set and real-world images show that the proposed algorithm improves the detection rate approximately 20% and 10%, respectively
