Facial Landmark Detection based on Cascade Neural Network

doi:10.1088/1742-6596/1237/3/032048

NTSC-IR

	Facial Landmark Detection based on Cascade Neural Network
	Chen,Xuzhan 1,2; Huang,Luxi 3,4; Chen,Yingming 3,4
	2019-06-01
发表期刊	Journal of Physics: Conference Series
ISSN	1742-6588
卷号	1237 期号:3
摘要	Abstract A three-stage cascade convolutional neural network is proposed in this paper to learn the facial features. In order to improve the robustness and accuracy of facial landmark detection, several parallel sub-networks are involved in each stage of network. The convolutional neural network performs global advanced feature extraction for the entire facial region in the preceding stage, so as to obtain more accurate positioning. Since the first-stage input covers the whole image, the global facial information can be effectively used to weaken or even avoid the detection errors caused by occlusion, large posture changes, extreme illumination and etc. During facial detection, the first-stage network will make initial prediction of facial landmarks, and then get the facial area narrowed down and accurate according to the prediction results; the second-stage network will take the narrowed-down facial area above as the input, the three parallel convolution networks are used to classify the facial landmarks for quadratic estimates, so as to improve the accuracy of prediction results based on the results of first-stage network. The input of the third-stage network is limited to the small neighborhood of the second-stage prediction results, which can make the prediction results more accurate. The experimental data shows that our method has certain advantages in detection accuracy and reliability.
DOI	10.1088/1742-6596/1237/3/032048
语种	英语
WOS记录号	IOP:1742-6588-1237-3-032048
出版者	IOP Publishing
引用统计
文献类型	期刊论文
条目标识符	http://210.72.145.45/handle/361003/10754
专题	中国科学院国家授时中心
作者单位	1.Xidian University, Xi’an 710126 2.The 20th Research Institute of China Electronics Technology Group Corporation, Xi’an 710068 3.National Time Service Center, Xi’an 710600 4.University of Chinese Academy of Sciences, Beijing 100049
推荐引用方式 GB/T 7714	Chen,Xuzhan,Huang,Luxi,Chen,Yingming. Facial Landmark Detection based on Cascade Neural Network[J]. Journal of Physics: Conference Series,2019,1237(3).
APA	Chen,Xuzhan,Huang,Luxi,&Chen,Yingming.(2019).Facial Landmark Detection based on Cascade Neural Network.Journal of Physics: Conference Series,1237(3).
MLA	Chen,Xuzhan,et al."Facial Landmark Detection based on Cascade Neural Network".Journal of Physics: Conference Series 1237.3(2019).