Paper Info
Title
Complementary Optic Flow
Abstract
We introduce the concept of complementarity between data and smoothness term in modern variational optic flow methods. First we design a sophisticated data term that incorporates HSV colour rep- resentation with higher order constancy assumptions, completely sepa- rate robust penalisation, and constraint normalisation. Our anisotropic smoothness term reduces smoothing in the data constraint direction in- stead of the image edge direction, while enforcing a strong filling-in ef- fect orthogonal to it. This allows optimal complementarity between both terms and avoids undesirable interference. The high quality of our com- plementary optic flow (COF) approach is demonstrated by the current top ranking result at the Middlebury benchmark.
Year
DOI
Venue
2009
10.1007/978-3-642-03641-5_16
Energy Minimization Methods in Computer Vision and Pattern Recognition
Keywords
Field
DocType
complementary optic flow,hsv colour representation,constraint normalisation,data constraint direction,modern variational optic flow,image edge direction,optimal complementarity,anisotropic smoothness term,smoothness term,sophisticated data term,higher order,optical flow
Complementarity (molecular biology),Mathematical optimization,Ranking,Computer science,Flow (psychology),Algorithm,Smoothing,Interference (wave propagation),Structure tensor,Smoothness
Conference
Volume
ISSN
Citations 
5681
0302-9743
39
PageRank 
References 
Authors
2.32
18
7
Name
Order
Citations
PageRank
Henning Zimmer153021.88
Andrés Bruhn2155882.42
Joachim Weickert35489391.03
Levi Valgaerts447015.88
Agust ´ in Salgado5687.80
Bodo Rosenhahn61733137.77
Hans-Peter Seidel712532801.49