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International Conference for Emerging Technologies in Computing

iCETiC 2018: Emerging Technologies in Computing pp 220–236Cite as

Face Recognition Analysis Using 3D Model

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Abstract

Facial Recognition is a commonly used technology in security-related applications. It has been thoroughly studied and scrutinized for its number of practical real-world applications. On the road ahead of understanding this technology, there remain several obstacles. In this paper, methods of 3D face recognition are examined by measuring quantifiable applications and results. In facial recognition, three Dimensional Morphable Model (3DMM) techniques have attracted more and more attention as effectiveness in use increases over time. 3DMM provides automation and more accurate image rendering when compared to other traditional techniques. The accuracy in image rendering comes at a cost; as 3DMM requires more focus on texture estimation, shape-controlling limits, and extrinsic variations, accurately matching fitting models, feature tracking and precision identification. We have underlined different issues in comparison based on these methods.

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Acknowledgement

The author is very grateful to everyone for their recommendations and guidance in research, and for their continuous support, motivation and immense knowledge. The author also thanks to colleagues and lab mates for stimulates discussions and encouragement.

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Authors and Affiliations

  1. College of Computer Science, Sichuan University, Chengdu, 610065, People’s Republic of China

    Muhammad Sajid Khan

  2. Department of Computer Science, Army Public College of Management & Sciences (APCOMS), Rawalpindi, Punjab, Pakistan

    Muhammad Sajid Khan, Muhammad Jehanzeb & Muhammad Imran Babar

  3. Department of Computer Science, University of Haripur, Hattar Road Near Swat Chowk, Haripur, 22620, Khyber Pakhtunkhwa, Pakistan

    Shah Faisal

  4. Federation University Australia, Mt Helen, Ballarat, VIC, 3350, Australia

    Zabeeh Ullah

  5. Western China Earthquake and Hazards Mitigation Research Centre, College of Architecture and Environment, Sichuan University, Chengdu, 610065, People’s Republic of China

    Siti Zulaikha Binti Mohamad Amin

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  1. Muhammad Sajid Khan
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  2. Muhammad Jehanzeb
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  3. Muhammad Imran Babar
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  4. Shah Faisal
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  5. Zabeeh Ullah
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  6. Siti Zulaikha Binti Mohamad Amin
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Correspondence to Muhammad Sajid Khan .

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Editors and Affiliations

  1. University of Hong Kong, Hong Kong, Hong Kong

    Mahdi H. Miraz

  2. Wrexham Glyndwr University, Bradford, United Kingdom

    Peter Excell

  3. University of South Wales, Pontypridd, Mid Glamorgan, United Kingdom

    Andrew Ware

  4. AMA International University, Salmabad, Bahrain

    Safeeullah Soomro

  5. International Association of Educators and Researchers (IAER), London, United Kingdom

    Maaruf Ali

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Khan, M.S., Jehanzeb, M., Babar, M.I., Faisal, S., Ullah, Z., Amin, S.Z.B.M. (2018). Face Recognition Analysis Using 3D Model. In: Miraz, M., Excell, P., Ware, A., Soomro, S., Ali, M. (eds) Emerging Technologies in Computing. iCETiC 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-319-95450-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-95450-9_19

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