QQ客服 官方微博 反馈留言

	Face Detection with End-to-End Integration of a ConvNet and a 3D Model
	Li, Yunzhu ; Sun, Benyuan ; Wu, Tianfu ; Wang, Yizhou
	2016
关键词	Face detection Face 3D model ConvNet Deep learning Multi-task learning RECOGNITION
英文摘要	This paper presents a method for face detection in the wild, which integrates a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative learning framework. The 3D mean face model is predefined and fixed (e.g., we used the one provided in the AFLW dataset). The ConvNet consists of two components: (i) The face proposal component computes face bounding box proposals via estimating facial key-points and the 3D transformation (rotation and translation) parameters for each predicted key-point w.r.t. the 3D mean face model. (ii) The face verification component computes detection results by pruning and refining proposals based on facial key-points based configuration pooling. The proposed method addresses two issues in adapting state-of-the-art generic object detection ConvNets (e.g., faster R-CNN) for face detection: (i) One is to eliminate the heuristic design of predefined anchor boxes in the region proposals network (RPN) by exploiting a 3D mean face model. (ii) The other is to replace the generic RoI (Region-of-Interest) pooling layer with a configuration pooling layer to respect underlying object structures. The multi-task loss consists of three terms: the classification Softmax loss and the location smooth l(1)-losses of both the facial key-points and the face bounding boxes. In experiments, our ConvNet is trained on the AFLW dataset only and tested on the FDDB benchmark with fine-tuning and on the AFW benchmark without fine-tuning. The proposed method obtains very competitive state-of-the-art performance in the two benchmarks.; CPCI-S(ISTP); leo.liyunzhu@pku.edu.cn; sunbenyuan@pku.edu.cn; tianfu_wu@ncsu.edu; Yizhou.Wang@pku.edu.cn; 420-436; 9907
语种	英语
出处	14th European Conference on Computer Vision (ECCV)
DOI标识	10.1007/978-3-319-46487-9_26
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/460043]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Yunzhu,Sun, Benyuan,Wu, Tianfu,et al. Face Detection with End-to-End Integration of a ConvNet and a 3D Model. 2016-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。