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Head pose estimation with soft labels using regularized convolutional neural network

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成果类型:
期刊论文
作者:
Xu, Luhui;Chen, Jingying*;Gan, Yanling
通讯作者:
Chen, Jingying
作者机构:
[Xu, Luhui; Gan, Yanling; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构:
[Chen, Jingying] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Head pose estimation;Convolutional neural network;Soft labels;Regularized architecture
期刊:
Neurocomputing
ISSN:
0925-2312
年:
2019
卷:
337
页码:
339-353
基金类别:
National Key Research and Development Program of China [2018YFB1004504]; Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE [CCNU17ZDJC04]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Head pose estimation has many wide applications such as driver monitoring, attention recognition and multi-view facial analysis. Most of the previous works routinely utilize detected face regions to further estimate head pose with hard labels, which limits to explore more discriminative texture information and tends to over-fit. In this paper, we present a novel framework to alleviate this problem, which takes entire images as input and constructs soft labels using a Gaussian distribution function as supervision information, and then introduces...

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