Differential methods are frequently used techniques for optic flow computations. They can be classified into local methods such as the Lucas-Kanade technique or Bigün’s structure tensor method, and into global methods such as the Horn-Schunck approach and its modifications. Local methods are known to be more robust under noise, while global techniques yield 100% dense flow fields. No clear attempts to combine the advantages of these two classes of methods have been made in the literature so far.
Beschreibung
Combining the Advantages of Local and Global Optic Flow Methods - Springer
%0 Book Section
%1 year=2002
%A Bruhn, Andrés
%A Weickert, Joachim
%A Schnörr, Christoph
%B Pattern Recognition
%D 2002
%E Gool, Luc
%I Springer Berlin Heidelberg
%K optical_flow
%P 454-462
%R 10.1007/3-540-45783-6_55
%T Combining the Advantages of Local and Global Optic Flow Methods
%U http://dx.doi.org/10.1007/3-540-45783-6_55
%V 2449
%X Differential methods are frequently used techniques for optic flow computations. They can be classified into local methods such as the Lucas-Kanade technique or Bigün’s structure tensor method, and into global methods such as the Horn-Schunck approach and its modifications. Local methods are known to be more robust under noise, while global techniques yield 100% dense flow fields. No clear attempts to combine the advantages of these two classes of methods have been made in the literature so far.
%@ 978-3-540-44209-7
@incollection{year={2002},
abstract = {Differential methods are frequently used techniques for optic flow computations. They can be classified into local methods such as the Lucas-Kanade technique or Bigün’s structure tensor method, and into global methods such as the Horn-Schunck approach and its modifications. Local methods are known to be more robust under noise, while global techniques yield 100% dense flow fields. No clear attempts to combine the advantages of these two classes of methods have been made in the literature so far.},
added-at = {2013-05-23T15:30:54.000+0200},
author = {Bruhn, Andrés and Weickert, Joachim and Schnörr, Christoph},
biburl = {https://www.bibsonomy.org/bibtex/28f8c74641e584980eb5ece49f3b70b7c/alex_ruff},
booktitle = {Pattern Recognition},
description = {Combining the Advantages of Local and Global Optic Flow Methods - Springer},
doi = {10.1007/3-540-45783-6_55},
editor = {Gool, Luc},
interhash = {b7dfb0a7c2dad4bcbbd9f1553d24bc13},
intrahash = {8f8c74641e584980eb5ece49f3b70b7c},
isbn = {978-3-540-44209-7},
keywords = {optical_flow},
language = {English},
pages = {454-462},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2013-05-23T15:30:54.000+0200},
title = {Combining the Advantages of Local and Global Optic Flow Methods},
url = {http://dx.doi.org/10.1007/3-540-45783-6_55},
volume = 2449,
year = 2002
}