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Link to original content: https://unpaywall.org/10.1007/S10766-017-0552-8
Parallel Heat Kernel Volume Based Local Binary Pattern on Multi-Orientation Planes for Face Representation | International Journal of Parallel Programming Skip to main content
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Parallel Heat Kernel Volume Based Local Binary Pattern on Multi-Orientation Planes for Face Representation

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Abstract

Appropriate representation is one of the keys to successful face recognition technologies. Actual facial appearance sometimes differs dramatically because of variations in pose, illumination, expression, and occlusion. However, existing face representation methods remain insufficiently powerful and robust. Hence, we propose a new feature extraction approach for face representation based on heat kernel volume and local binary patterns. Multi-scale heat kernel faces are created in our proposed framework. We then reformulate these multi-scale heat kernel faces as three-dimensional volume. Furthermore, we generate multi-orientation planes from the heat kernel volume, which reflects orientation co-occurrence statistics among different heat kernel faces. Finally, we apply local binary pattern (LBP) analysis on the multi-orientation planes of the heat kernel volume to capture the microstructure and macrostructure of face appearance. Hence, we obtain the heat kernel volume based local binary pattern on multi-orientation planes (HKV–LBP–MOP) descriptor. The proposed method is successfully be paralleled. We applied the method to face recognition and obtain the performance of 99.28 and 87.82% on ORL and Yale databases respectively. Experimental results on the show that the proposed algorithm significantly outperforms other well-known approaches in terms of recognition rate.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (#61701327, #61711540303), National Research Foundation of Korea (#NRF-2017K2A9A2A06013711), Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) Fund, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET).

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Authors and Affiliations

  1. School of Software Engineering, Beijing Jiaotong University, Beijing, China

    Wei Lu

  2. College of Electronics and Information Engineering, Sichuan University, Chengdu, China

    Wei Lu, Xiaomin Yang, Xu Gou, Lihua Jian & Wei Wu

  3. College of Information and Technology, Incheon National University, Incheon, Korea

    Gwanggil Jeon

Authors
  1. Wei Lu
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  2. Xiaomin Yang
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  3. Xu Gou
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  4. Lihua Jian
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  5. Wei Wu
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  6. Gwanggil Jeon
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Correspondence to Xiaomin Yang.

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Lu, W., Yang, X., Gou, X. et al. Parallel Heat Kernel Volume Based Local Binary Pattern on Multi-Orientation Planes for Face Representation. Int J Parallel Prog 46, 943–962 (2018). https://doi.org/10.1007/s10766-017-0552-8

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