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A robust real-time facial alignment system with facial landmarks detection and rectification for multimedia applications

Title: A robust real-time facial alignment system with facial landmarks detection and rectification for multimedia applications
Authors: Chou, KP; Prasad, M; Yang, J; Su, SY; Tao, X; Saxena, A; Lin, WC; Lin, CT
Publisher Information: Springer Science and Business Media LLC
Publication Year: 2020
Collection: University of Technology Sydney: OPUS - Open Publications of UTS Scholars
Subject Terms: 0803 Computer Software; 0805 Distributed Computing; 0806 Information Systems; 0801 Artificial Intelligence and Image Processing; Software Engineering; Artificial Intelligence & Image Processing
Description: © 2020, Springer Science+Business Media, LLC, part of Springer Nature. Face detection often plays the first step in various visual applications. Large variants of facial deformations due to head movements and facial expression make it difficult to identify appropriate face region. In this paper, a robust real-time face alignment system, including facial landmarks detection and face rectification, is proposed. A facial landmarks detection model based on regression tree is utilized in the proposed system. In face rectification framework, 2-D geometrical analysis based on pitch, yaw and roll movements is designed to solve the misalignment problem in face detection. The experiments on the two datasets verify the performance significantly improved by the proposed method in the facial recognition task and outperform than those obtained by other alignment methods. Furthermore, the proposed method can achieve robust recognition results even if the amount of training images is not large.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1380-7501; 1573-7721
Relation: http://purl.org/au-research/grants/arc/DP180100670; http://purl.org/au-research/grants/arc/DP180100656; Multimedia Tools and Applications; Multimedia Tools and Applications, 2020, pp. 1-23; http://hdl.handle.net/10453/143735
Availability: http://hdl.handle.net/10453/143735
Rights: info:eu-repo/semantics/openAccess ; This is a post-peer-review, pre-copyedit version of an article published in [Multimedia Tools and Applications]. The final authenticated version is available online at: https://link.springer.com/article/10.1007/s11042-020-09216-7]” ; This is a post-peer-review, pre-copyedit version of an article published in Multimedia Tools and Applications. The final authenticated version is available online at: https://dx.doi.org/10.1007/s11042-020-09216-7.
Accession Number: edsbas.39E4AB4D
Database: BASE