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

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PubDate: December 2016

Teams: Huazhong University of Science and Technology

Writers: Zhiwei WangXin Yang

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

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.

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