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V-Head: Face Detection and Alignment for Facial Augmented Reality Applications

  • Zhiwei WangEmail author
  • Xin Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10133)

Abstract

Efficient and accurate face detection and alignment are key techniques for facial augmented reality (AR) applications. In this paper, we introduce V-Head, a facial AR system which consists of three major components: (1) joint face detection and shape initialization which can efficiently localize facial regions based on the proposed face probability map and a multipose classifier and meanwhile explicitly produces a roughly aligned initial shape, (2) cascade face alignment to locate 2D facial landmarks on the detected face, and (3) 3D head pose estimation based on the perspective-n-point (PnP) algorithm so as to overlay 3D virtual objects on the detected faces. The demonstration can be accessed from https://drive.google.com/open?id=0B-H2fYiPunUtRHBFTDRzRkZvVEE.

Keywords

Face detection Face initialization Face alignment AR 

References

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Shool of Electronic Information and CommunicationsHuazhong University of Science and TechnologyWuhanChina

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