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Cross-cascading regression for simultaneous head pose estimation and facial landmark detection
Zhang, Wei; Zhang, Hongwen; Li, Qi; Liu, Fei; Sun, Zhenan; Li, Xin; Wan, Xinxin
2018-08
Conference NameChinese Conference on Biometric Recognition
Conference Date2018-08
Conference PlaceChina
Abstract

Head pose estimation and facial landmark localization are crucial problems which have a large amount of applications. We propose a cross-cascading regression network which simultaneously perform head pose estimation and facial landmark detection by integrating information embedded in both head poses and facial landmarks. The network consists of two sub-models, one responsible for head pose estimation and the other for facial landmark localization, and a convolutional layer (channel unification layer) which enables the communication of feature maps generated by both sub-models. To be specific, we adopt integral operation for both pose and landmark coordinate regression, and exploit expectation instead of maximum value to estimate head pose and locate facial landmarks. Results of extensive experiments demonstrate that our approach achieves state-of-the-art performance on the challenging AFLW dataset.

IS Representative Paper
Sub direction classification生物特征识别
planning direction of the national heavy laboratory视觉信息处理
Paper associated data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55267
Collection智能感知与计算研究中心
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zhang, Wei,Zhang, Hongwen,Li, Qi,et al. Cross-cascading regression for simultaneous head pose estimation and facial landmark detection[C],2018.
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