Real-time optical flow computation based on adaptive color quantization by competitive neural networks
| Autor: | Manuel Grana Romay, Imanol Echave |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Pixel
business.industry Computer science Quantization (signal processing) Optical engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Codebook Vector quantization Optical flow Filter (signal processing) Color quantization Computer vision Artificial intelligence business Quantization (image processing) Smoothing |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.360295 |
| Popis: | 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.© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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