Abstract
Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used confidence measures, which have been found of at best intermediate quality. Hence, we propose a new confidence measure based on linear subspace projections. The results are compared to the best previously proposed confidence measures with respect to an optimal confidence. Using the proposed measure we are able to improve previous results by up to 31%.
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Kondermann, C., Kondermann, D., Jähne, B., Garbe, C. (2007). An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections. In: Hamprecht, F.A., Schnörr, C., Jähne, B. (eds) Pattern Recognition. DAGM 2007. Lecture Notes in Computer Science, vol 4713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74936-3_14
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DOI: https://doi.org/10.1007/978-3-540-74936-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74933-2
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