Facial Point Detection via Deep Neural Networks

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 高性能计算应用研究中心

	Facial Point Detection via Deep Neural Networks
	Chen, Yu-wen; Zhang, Jin; Zhong, Kun-hua
	2015
会议日期	SEP 20-21, 2015
会议地点	HONG KONG
页码	158-163
通讯作者	Zhang, J (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing, Peoples R China.
英文摘要	Face recognition is one of the most significant branches in computer vision research. the most fundamental but by far the most important task is facial keypoints detection, that is, to find out the locations of specific keypoints on face images In this thesis,, we are given a list of 96x96-pixel 8-bit graylevel images. The task is to predict the positions of 15 keypoints on grayscale face images. Each predicted keypoint is specified by an (x, y) real-valued pair. In experiments, we trained Deep Convolutional Network (CNN) and varied the depth and size of an architecture. The experimental results show that the network-4 which has 7 layers with the provides better results than other's model for the dataset.
会议录	2015 INTERNATIONAL CONFERENCE ON SOFTWARE, MULTIMEDIA AND COMMUNICATION ENGINEERING (SMCE 2015)
语种	英语
WOS记录号	WOS:000380498500027
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/391]
专题	高性能计算应用研究中心综合办公室
作者单位	(1) Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, 266 Fangzheng Ave,Shuitu Hitech Ind Pk, Chongqing, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yu-wen,Zhang, Jin,Zhong, Kun-hua. Facial Point Detection via Deep Neural Networks[C]. 见:. HONG KONG. SEP 20-21, 2015.