TY  - CONF
AU  - Patricia Marquez
AU  - Debora Gil
AU  - Aura Hernandez-Sabate
A2  - CVTT:E2M
PY  - 2013//
TI  - Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality
BT  - ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars
SP  - 624
EP  - 631
N2  - Assessing Optical Flow (OF) quality is essential for its further use in reliable decision support systems. The absence of ground truth in such situations leads to the computation of OF Confidence Measures (CM) obtained from either input or output data. A fair comparison across the capabilities of the different CM for bounding OF error is required in order to choose the best OF-CM pair for discarding points where OF computation is not reliable. This paper presents a statistical probabilistic framework for assessing the quality of a given CM. Our quality measure is given in terms of the percentage of pixels whose OF error bound can not be determined by CM values. We also provide statistical tools for the computation of CM values that ensures a given accuracy of the flow field.
UR  - http://www.cv-foundation.org/openaccess/content_iccv_workshops_2013/W20/papers/Marquez-Valle_Evaluation_of_the_2013_ICCV_paper.pdf
L1  - http://refbase.cvc.uab.es/files/MGH2013b.pdf
UR  - http://dx.doi.org/10.1109/ICCVW.2013.86
N1  - IAM; ADAS; 600.044; 600.057; 601.145
ID  - Patricia Marquez2013
ER  -