Abstract
When in a pipeline a robust global motion estimation is needed, RANSAC algorithm is the usual choice. Unfortunately, since RANSAC is an iterative method based on random analysis, it is not suitable for real-time processing. This paper presents an outlier removal algorithm, which reaches a robust estimation (at least equal to RANSAC) with really low power consumption and can be employed for embedded time implementation.
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Spampinato, G., Bruna, A., Farinella, G.M., Battiato, S., Puglisi, G. (2015). Fast and Low Power Consumption Outliers Removal for Motion Vector Estimation. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2015. Lecture Notes in Computer Science(), vol 9386. Springer, Cham. https://doi.org/10.1007/978-3-319-25903-1_7
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DOI: https://doi.org/10.1007/978-3-319-25903-1_7
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