Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/60216
Título: Comparison of optical flow methods under stereomatching with short baselines
Autores/as: Dagobert, Tristan
Monzon, Nelson 
Sanchez, Javier 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
Palabras clave: Stereovision
Subpixel
Metric
ROC curve
optical flow
Fecha de publicación: 2019
Publicación seriada: Image Processing On Line 
Resumen: This article studies the effectiveness of optical flow methods applied to short baseline image pairs under different noise levels. New metrics have been developed to analyze the results because the usual metrics are inadequate in a subpixel context. We have used the implementation of some standard optical flow methods adapted to the stereo problem. Our experiments show that the Brox et al. method produces the least errors, with a 60% success rate and a relative precision at 1/100th of a pixel. On the other hand, our comparison shows that a discontinuity preserving method, derived from Brox et al., also provides competitive results at the same time that it yields disparities with more details and correct contours.
URI: http://hdl.handle.net/10553/60216
ISSN: 2105-1232
DOI: 10.5201/ipol.2019.217
Fuente: Image Processing On Line [ISSN 2105-1232], v. 9, p. 329-359
Colección:Artículos
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