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Emergent face orientation recognition with internal neurons of the developmental network

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Abstract

Estimation of face orientation has been a topic of intense research in the recent past. Most of the prior face orientation methods use symbolic methods or handcrafted internal representations which are not sufficiently brain based. An emergent developmental network (DN) is presented to recognize the face orientation, from sensory and motor experience. This work is different in the sense that we focused on mechanisms that enable a system to develop its emergent representations from its operational experience. In this work, internal unsupervised neurons of the DN are used to represent the face orientation, and the competitions among the internal neurons enable them to represent different face orientations. To illustrate the recognition effect, we study and compare the recognition effects among the BP, LVQ, PNN, and DN. Experiment results demonstrate efficiently how such internal neurons represent the face orientation while they are not directly supervised by the external environment. The presented network is developmental which means that the internal representations are directly learned from the signals of the input and motor ports, not designed internally for particular task; hence, the same learning principles are potentially suitable for other sensory modalities. As far as we know, it is the first trial to use the DN to recognize the face orientation.

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Authors and Affiliations

  1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, Henan, China

    Dongshu Wang, Hui Shan & Yuan Tian

  2. Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, 450020, Henan, China

    Lei Liu

Authors
  1. Dongshu Wang
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  2. Hui Shan
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  3. Yuan Tian
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  4. Lei Liu
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Correspondence to Dongshu Wang.

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Wang, D., Shan, H., Tian, Y. et al. Emergent face orientation recognition with internal neurons of the developmental network. Prog Artif Intell 7, 359–367 (2018). https://doi.org/10.1007/s13748-018-0150-z

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  • DOI: https://doi.org/10.1007/s13748-018-0150-z

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