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Author Ye, Ming ♦ Haralick, Robert M.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Description Optical flow estimation can be formulated as two re-gression stages, derivative estimation and optical flow con-straints (OFC) solving. Traditional approaches use Least-Squares at both stages and are sensitive to assumption vi-olations. To improve estimation accuracy especially near motion boundaries, we use a Least Trimmed Squares (LTS) estimator to solve the OFC, obtaining a confidence mea-sure for each estimate; and at place with low confidence, we use another LTS estimator to robustify derivative es-timation. This adaptive two-stage robust scheme has sig-nificantly higher accuracy than non-robust algorithms and those only using robust methods at the OFC stage. Advan-tages are illustrated on both synthetic and real data. 1
Proc. ICPR
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2000-01-01