DocumentCode :
178737
Title :
Generalized Optical Flow Model for Scattering Media
Author :
Drews, Paul ; Nascimento, Erickson R. ; Xavier, Arthur ; Campos, Mario
Author_Institution :
C3 - Centro de Cienc. Computacionais, Univ. Fed. do Rio Grande (FURG), Rio Grande, Brazil
fYear :
2014
fDate :
24-28 Aug. 2014
Firstpage :
3999
Lastpage :
4004
Abstract :
This paper proposes a novel methodology to estimate the optical flow in scattering media, which consists on new formulation based on the classical Horn-Schunk approach and the optical image formation model. Our formulation is able to deal with the hard problem of tracking points in a medium where there is absorption and scattering effects. This approach generalizes assumptions of the Horn-Schunk model in order to tackle both non-scattering and scattering media. Our approach uses the Dark Channel Prior to estimate the scene transmission, which attains a significant improvement in the optical flow estimation in scattering media. We show that our approach outperformed state-of-the-art models and we provide a detailed analysis of our technique that shows its applicability to image sequences acquired both in simulated and real scenes.
Keywords :
image sequences; Dark Channel Prior; Horn-Schunk model; generalized optical flow model; image sequences; nonscattering media; optical flow estimation; optical image formation model; scattering media; scene transmission estimation; Adaptive optics; Estimation; Integrated optics; Media; Optical imaging; Optical scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
ISSN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2014.685
Filename :
6977398
Link To Document :
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