An adaptive confidence measure for optical flows based on linear subspace projections

TitleAn adaptive confidence measure for optical flows based on linear subspace projections
Publication TypeConference Paper
Year of Publication2007
AuthorsKondermann, C, Kondermann, D, Jähne, B, Garbe, CS, Schnörr, C, Jähne, B
EditorHamprecht, FA
Conference NameProceedings of the 29th DAGM Symposium on Pattern Recognition
PublisherSpringer
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%.

DOI10.1007/978-3-540-74936-3_14
Series

Lecture Notes in Computer Science

Citation Keykondermann2007