Proceedings Paper
Real-time optical flow computation based on adaptive color quantization by competitive neural networks| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper we prose the application of the codebook computed by the Self Organizing Map as a smoothing filter, the QV Bayesian Filter, for the preprocessing of the image sequences. The optical flow is then robustly and efficiently computed over the filtered imags applying a correlation approach at the pixel level.
Paper Details
Date Published: 26 August 1999
PDF: 10 pages
Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); doi: 10.1117/12.360295
Published in SPIE Proceedings Vol. 3837:
Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)
PDF: 10 pages
Proc. SPIE 3837, Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision, (26 August 1999); doi: 10.1117/12.360295
Show Author Affiliations
Manuel Grana Romay, Univ. del Pais Vasco (Spain)
Imanol Echave, Univ. del Pais Vasco (Spain)
Published in SPIE Proceedings Vol. 3837:
Intelligent Robots and Computer Vision XVIII: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)
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