Abstract
Robust estimators have become popular tools for solving a wide range of problem in computer vision. Despite many successes in this field, there is still a need for estimators, which are suited to specific problems such as recovering structures from multi-structural data. This paper offers an alternative approach to, and some practical insights into, the implementation of well-known rank ordering based robust estimators. The approach has been tested on synthetic and real image data for motion segmentation purposes.
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© 1997 Springer-Verlag Berlin Heidelberg
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Bab-Hadiashar, A., Suter, D. (1997). Robust motion segmentation using rank ordering estimators. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_267
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DOI: https://doi.org/10.1007/3-540-63931-4_267
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