Object recognition in image sequences with cellular neural networks

Author:

Milanova Mariofanna,Büker Ulrich

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference27 articles.

1. Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views;Bradski;Neural Networks,1995

2. U. Büker, G. Hartmann, Knowledge based view control of a neural 3D object recognition system, in: Proceedings of the 13th International Conference on Pattern Recognition, ICPR'96, Wien, Vol.IV, IEEE Computer Soc. Press, Los Alamitos, 1996, pp. 24–29.

3. U. Büker, Hybrid object models: combining symbolic and subsymbolic object recognition strategies. in: Proceedings of the 4th International Conference on Information Systems, Analysis, and Synthesis, Vol.I, IIIS, Orlando, 1998, pp. 444–451.

4. A parallel algorithm for real-time computation of optical flow;Bülthoff;Nature,1989

5. H. Bülthoff, S. Edelman, M. Tarr, How are three-dimensional objects represented in the brain? Technical report, A.I.Memo N1479, Massachusetts Institute of Technology, A.I. Lab, 1994.

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