While optical flow has been often proposed for guiding a moving robot, its computational complexity has mostly prevented its actual use in real applications. We describe a restricted form of optical flow algorithm, which can be parallelized on chain-like neuronal structures, combining simplicity and speed. In addition, this algorithm makes use of predicted motion trajectories in order to remove noise from the input images.
CITATION STYLE
Vogelgesang, J., Cozzi, A., & Wörgötter, F. (1996). Parallel algorithm for depth perception from radial optical flow fields. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 721–725). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_122
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