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Title:

Efficient Stereo and Optical Flow with Robust Similarity Measures

Document type:
Buchbeitrag
Author(s):
Unger, C.; Wahl, E.; Ilic, S.
Pages contribution:
246--255
Abstract:
In this paper we address the problem of dense stereo matching and computation of optical flow. We propose a generalized dense correspondence computation algorithm, so that stereo matching and optical flow can be performed robustly and efficiently at the same time. We particularly target automotive applications and test our method on real sequences from the vehicles. We performed extensive quantitative evaluation of our method using different similarity measures and focused mainly on diffi...     »
Keywords:
2011,ComputerVision,DAGM
Editor:
Mester, Rudolf; Felsberg, Michael
Book title:
Pattern Recognition
Volume:
6835
Publisher:
Springer Berlin Heidelberg
Year:
2011
Print-ISBN:
978-3-642-23122-3
Bookseries title:
Lecture Notes in Computer Science
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