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Conflict Resolution: Analysis of the Existing Theories and Resolution Strategies in Relation to Face Recognition

Received: 13 November 2019    Accepted: 26 November 2019    Published: 24 December 2019
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Abstract

A scenario known as conflict in face recognition may arise as a result of some disparity-related issues (such as expression, distortion, occlusion and others) leading to a compromise of someone’s identity or contradiction of the intended message. However, addressing this requires the determination and application of appropriate procedures among the various conflict theories both in terms of concepts as well as resolution strategies. Theories such as Marxist, Game theory (Prisoner’s dilemma, Penny matching, Chicken problem), Lanchester theory and Information theory were analyzed in relation to facial images conflict and these were made possible by trying to provide answers to selected questions as far as resolving facial conflict is concerned. It has been observed that the scenarios presented in the Marxist theory agree with the form of resolution expected in the analysis of conflict and its related issues as they relate to face recognition. The study observed that the issue of conflict in facial images can better be analyzed using the concept introduced by the Marxist theory in relation to the Information theory. This is as a result of its resolution strategy which tends to seek a form of balance as result as opposed to the win or lose case scenarios applied in other concepts. This was also consolidated by making reference to the main mechanisms and result scenario applicable in Information theory.

Published in American Journal of Computer Science and Technology (Volume 2, Issue 4)

This article belongs to the Special Issue Facial Disparity

DOI 10.11648/j.ajcst.20190204.12
Page(s) 52-59
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Conflict Resolution, Conflict Theory, Facial Images, Disparity, Expression, Recognition

References
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[13] K. Jain and H. Pann, (2017). Efficient Disparity Estimation From Stereo Images Using Hybrid- Guided Filter. The Imaging Science Journal, Volume 66, Issue 3. https://doi.org/10.1080/13682199.2017.1385893.
[14] A. TeixeiraLopes, E. Aguiar, A. De Souza and T. Santos (2017). Facial Expression Recognition with Convolutionary Neural Network Coping With Few Data and Training Sample Order. Pattern Recognition, Volume 61, Pages 610-628.
[15] S. Iloh and H. BongKang, (2018). Development And Utilization Of A Disgusting Image Dataset to Understand and Predict Visual Disgust. Image and Vision Computing, Volume 72, Pages 24-38.
[16] S. Yixin, J. Liu and Du L. (2018). Wrong Matching Point Elimination after Scale Invariant Transformation and Its Application in Image Machinery. Pattern Recognition and Image Analysis. Volume 28, Issue 1, pp. 87–96.
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Cite This Article
  • APA Style

    Akeem Alabi, Babajide Afolabi, Bernard Akhigbe, Adewole Ayoade. (2019). Conflict Resolution: Analysis of the Existing Theories and Resolution Strategies in Relation to Face Recognition. American Journal of Computer Science and Technology, 2(4), 52-59. https://doi.org/10.11648/j.ajcst.20190204.12

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    ACS Style

    Akeem Alabi; Babajide Afolabi; Bernard Akhigbe; Adewole Ayoade. Conflict Resolution: Analysis of the Existing Theories and Resolution Strategies in Relation to Face Recognition. Am. J. Comput. Sci. Technol. 2019, 2(4), 52-59. doi: 10.11648/j.ajcst.20190204.12

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    AMA Style

    Akeem Alabi, Babajide Afolabi, Bernard Akhigbe, Adewole Ayoade. Conflict Resolution: Analysis of the Existing Theories and Resolution Strategies in Relation to Face Recognition. Am J Comput Sci Technol. 2019;2(4):52-59. doi: 10.11648/j.ajcst.20190204.12

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  • @article{10.11648/j.ajcst.20190204.12,
      author = {Akeem Alabi and Babajide Afolabi and Bernard Akhigbe and Adewole Ayoade},
      title = {Conflict Resolution: Analysis of the Existing Theories and Resolution Strategies in Relation to Face Recognition},
      journal = {American Journal of Computer Science and Technology},
      volume = {2},
      number = {4},
      pages = {52-59},
      doi = {10.11648/j.ajcst.20190204.12},
      url = {https://doi.org/10.11648/j.ajcst.20190204.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20190204.12},
      abstract = {A scenario known as conflict in face recognition may arise as a result of some disparity-related issues (such as expression, distortion, occlusion and others) leading to a compromise of someone’s identity or contradiction of the intended message. However, addressing this requires the determination and application of appropriate procedures among the various conflict theories both in terms of concepts as well as resolution strategies. Theories such as Marxist, Game theory (Prisoner’s dilemma, Penny matching, Chicken problem), Lanchester theory and Information theory were analyzed in relation to facial images conflict and these were made possible by trying to provide answers to selected questions as far as resolving facial conflict is concerned. It has been observed that the scenarios presented in the Marxist theory agree with the form of resolution expected in the analysis of conflict and its related issues as they relate to face recognition. The study observed that the issue of conflict in facial images can better be analyzed using the concept introduced by the Marxist theory in relation to the Information theory. This is as a result of its resolution strategy which tends to seek a form of balance as result as opposed to the win or lose case scenarios applied in other concepts. This was also consolidated by making reference to the main mechanisms and result scenario applicable in Information theory.},
     year = {2019}
    }
    

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    AU  - Akeem Alabi
    AU  - Babajide Afolabi
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    AB  - A scenario known as conflict in face recognition may arise as a result of some disparity-related issues (such as expression, distortion, occlusion and others) leading to a compromise of someone’s identity or contradiction of the intended message. However, addressing this requires the determination and application of appropriate procedures among the various conflict theories both in terms of concepts as well as resolution strategies. Theories such as Marxist, Game theory (Prisoner’s dilemma, Penny matching, Chicken problem), Lanchester theory and Information theory were analyzed in relation to facial images conflict and these were made possible by trying to provide answers to selected questions as far as resolving facial conflict is concerned. It has been observed that the scenarios presented in the Marxist theory agree with the form of resolution expected in the analysis of conflict and its related issues as they relate to face recognition. The study observed that the issue of conflict in facial images can better be analyzed using the concept introduced by the Marxist theory in relation to the Information theory. This is as a result of its resolution strategy which tends to seek a form of balance as result as opposed to the win or lose case scenarios applied in other concepts. This was also consolidated by making reference to the main mechanisms and result scenario applicable in Information theory.
    VL  - 2
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Author Information
  • Department of Computer Science and Engineering, Oduduwa University, Ipetumodu, Nigeria

  • Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

  • Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

  • Department of Computer Science and Engineering, Oduduwa University, Ipetumodu, Nigeria

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