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Advanced Computing and Systems for Security pp 175–189Cite as

3D Face Recognition Based on Volumetric Representation of Range Image

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 883))

Abstract

In this paper, a 3D face recognition system has been developed based on the volumetric representation of 3D range image. The main approach to build this system is to calculate volume on some distinct region of 3D range face data. The system has mainly three steps. In the very first step, seven significant facial landmarks are identified on the face. Secondly, six distinct triangular regions A to F are created on the face using any three individual landmarks where nose tip is common to all regions. Further 3D volumes of all the respective triangular regions have been calculated based on plane fitting on the input range images. Finally, KNN and SVM classifiers are considered for classification. Initially, the classification and recognition are carried out on the different volumetric region, and a further combination of all the regions is considered. The proposed approach is tested on three useful challenging databases, namely Frav3D, Bosphorous, and GavabDB.

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Acknowledgements

I, Koushik Dutta, would like to express thanks to Ministry of Electronics and Information Technology (MeitY), Govt. of India. I am also thankful for Department of Computer Science and Engineering, Jadavpur University, Kolkata, India for providing the necessary infrastructure for this work.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jadavpur University, Kolkata, West Bengal, India

    Koushik Dutta, Debotosh Bhattacharjee & Mita Nasipuri

  2. Computer Science Engineering, Birla Institute of Technology, Mesra, Ranchi, India

    Anik Poddar

Authors
  1. Koushik Dutta
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  2. Debotosh Bhattacharjee
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  3. Mita Nasipuri
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  4. Anik Poddar
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Corresponding author

Correspondence to Koushik Dutta .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari, Mestre, Venice, Venezia, Italy

    Agostino Cortesi

  3. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Dutta, K., Bhattacharjee, D., Nasipuri, M., Poddar, A. (2019). 3D Face Recognition Based on Volumetric Representation of Range Image. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 883. Springer, Singapore. https://doi.org/10.1007/978-981-13-3702-4_11

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