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Facial landmarks detection using improved active shape model on android platform

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Abstract

Detection of facial feature is fundamental for applications such as security, biometrics, 3D face modeling and personal authentication. Active Shape Model (ASM) is one of the most popular local texture models for face detection. This paper presents an issue related to face detection based on ASM, and proposes an efficient extraction algorithm for facial landmarks suitable for use on mobile devices. We modifies the original ASM to improve its performance with three changes; (1) Improving the initialization model using the center of the eyes by using a feature map of color information, (2) Constructing modified model definition and fitting more landmarks than the classical ASM, and (3) Extending and building a 2-D profile model for detecting faces in input image. The proposed method is evaluated on dataset containing over 700 images of faces, and experimental results reveal that the proposed algorithm exhibited a significant improvement of over 10.2 % in average success ratio, compared to the classic ASM, clearly outperforming on success rate and computing time.

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Notes

  1. Available web site is http://fei.edu.br/~cet/facebase.html

  2. Available web site is http://www.kasrl.org/jaffe_info.html

  3. Available ftp site is ftp://guest@220.149.231.235

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Acknowledgments

This research is supported by Ministry of Culture, Sports and Tourism (MCST) and Korea Creative Content Agency (KOCCA) in the Culture Technology (CT) Research & Development Program 2013.

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Authors and Affiliations

  1. Department of Applied Computer Engineering, Dankook University, 152, Jukgeon-ro, Suji-gu, Yongin-si, Gyeonggi-do, 448-701, South Korea

    Yong-Hwan Lee

  2. Department of Computer Science, Namseoul University, 91 Daehak-ro, Seongwhaneub, Seobuk-gu, Cheonan, Chungnam, South Korea

    Cheong Ghil Kim

  3. Department of Electronic Engineering, Dankook University, 119 Dandae-ro, Dongnam-gu, Cheonan, Chungnam, South Korea

    Youngseop Kim

  4. Department of Interactive Media, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, South Korea

    Taeg Keun Whangbo

Authors
  1. Yong-Hwan Lee
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  2. Cheong Ghil Kim
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  3. Youngseop Kim
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  4. Taeg Keun Whangbo
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Correspondence to Cheong Ghil Kim.

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Lee, YH., Kim, C.G., Kim, Y. et al. Facial landmarks detection using improved active shape model on android platform. Multimed Tools Appl 74, 8821–8830 (2015). https://doi.org/10.1007/s11042-013-1565-y

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  • DOI: https://doi.org/10.1007/s11042-013-1565-y

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