Error analysis for lucas-kanade based schemes

Authors:
Patricia Márquez-Valle;Debora Gil;Aura Hernàndez-Sabaté
Affiliations:
Computer Vision Center and Computer Science Department, Campus UAB, Bellaterra, Barcelona, Spain;Computer Vision Center and Computer Science Department, Campus UAB, Bellaterra, Barcelona, Spain;Computer Vision Center and Computer Science Department, Campus UAB, Bellaterra, Barcelona, Spain
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Year:
2012

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Abstract

Optical flow is a valuable tool for motion analysis in medical imaging sequences. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in medical sequences. This paper presents an error analysis of Lucas-Kanade schemes in terms of intrinsic design errors and numerical stability of the algorithm. Our analysis provides a confidence measure that is naturally correlated to the accuracy of the flow field. Our experiments show the higher predictive value of our confidence measure compared to existing measures.