Abstract
3-D object recognition which is independent of translation and rotation using an ultrasonic sensor array, invariant moment vectors, and neural network is presented. With invariant moment vectors of the acquired 16x8 pixel data of square, rectangular, cylindrical, and regular triangular blocks, SOFM (Self Organizing Feature Map) neural network can classify 3-D objects. Invariant moment vectors are constants independent of translation and rotation. The experimental results of the 3-D object recognition using an ultra sensor array are presented to show the effectiveness of the proposed algorithm.
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References
Pugh, A.: Robot Sensors, vol. 2, 261-285. IFS Ltd (1986)
Lee, K.: 3-D Object Recognition and Restoration Using an ultrasonic Sensor Array. Journal of KIEE 44(5), 671–677 (1995)
Watanabe, S., Yoneyama, M.: An Ultrasonic Visual Sensor for Three Dimensional Object Recognition using Neural Network. IEEE Trans. on Robotics and Automation 8(2), 240–249 (1992)
Teh, C.H., Chin, R.T.: On Digital Approximation of Moment Invariants. Computer Vision, Graphics, and Image Processing 33, 318–326 (1986)
Wong, R.Y., Hall, E.L.: Scene Matching with Invariant Moments. Computer Vision, Graphics, and Image Processing 8, 16–24 (1978)
Dayhoff, J.E.: Neural Network Architectures, pp. 163–191. Van Nostrand Reinhold, New York (1990)
Hu, M.K.: Visual Pattern Recognition by Moment Invariants. IRE Trans. Information Theory 8, 179–187 (1962)
Kohonen, T.K.: Self-Organization and Associative Memory. Springer, Heidelberg (1994)
Ultrasonic Ranging System Handbook, Polaroid Corporation (1980)
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© 2007 Springer-Verlag Berlin Heidelberg
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Lee, K. (2007). 3-D Object Recognition Using an Ultrasonic Sensor Array and Neural Networks. In: Melin, P., Castillo, O., RamÃrez, E.G., Kacprzyk, J., Pedrycz, W. (eds) Analysis and Design of Intelligent Systems using Soft Computing Techniques. Advances in Soft Computing, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72432-2_31
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DOI: https://doi.org/10.1007/978-3-540-72432-2_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72431-5
Online ISBN: 978-3-540-72432-2
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