Visual perception based on cellular neural network for a partner robot

This paper discusses the visual perception of a partner robot. The partner robot should classify not only a facing human, but also the expression of the human. Therefore, various features should be extracted from the image of the human. In this paper, we apply a cellular neural network to extract various features from the sequential images. Experimental results will show that proposed method can extract effective features to classify the expression of human face from the original image.

[1]  Setsuo Hashimoto,et al.  Acquisition of Perceptual System Using Genetic Programming for Perception-Based Robotics , 2003 .

[2]  N. Kubota,et al.  Perception-based robotics based on perceiving-acting cycle with modular neural networks , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[3]  Michael T. Turvey,et al.  Ecological foundations of cognition. II: Degrees of freedom and conserved quantities in animal-environment systems , 1999 .

[4]  Kunihiko Fukushima,et al.  Neocognitron: a model for visual pattern recognition , 1998 .

[5]  M. Turvey,et al.  Ecological foundations of cognition. I: Symmetry and specificity of animal-environment systems , 1999 .

[6]  Kunihiko Fukushima,et al.  Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition , 1982 .

[7]  D. Sperber,et al.  Relevance: Communication and Cognition , 1997 .

[8]  Lin-Bao Yang,et al.  Cellular neural networks: theory , 1988 .

[9]  Leon O. Chua,et al.  Cellular neural networks: applications , 1988 .

[10]  Naoyuki Kubota,et al.  Behavior Coordination of A Partner Robot based on Imitation , 2004 .

[11]  Leon O. Chua,et al.  The CNN paradigm , 1993 .

[12]  Naoyuki Kubota,et al.  Fuzzy Computing for Communication of A Partner Robot Based on Imitation , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[13]  Tamás Roska,et al.  The CNN universal machine: an analogic array computer , 1993 .

[14]  Phil Husbands,et al.  Evolutionary robotics , 2014, Evolutionary Intelligence.

[15]  Rolf Pfeifer,et al.  Understanding intelligence , 2020, Inequality by Design.