Robust regression in computer vision

Peter Meer; Doron Mintz

doi:10.1117/12.25173

1 February 1991 Robust regression in computer vision

Peter Meer, Doron Mintz

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25173
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

We describe the least median of squares (LMedS) robust estimator which identifies the surface corresponding to the absolute majority of the data points. However when all the data points are corrupted by noise LMedS may fail. This is the case in computer vision applications and we have developed a new approach which preserves the robustness of LMedS but avoids its artifacts in the presence of noise.

Citation Download Citation

Peter Meer and Doron Mintz "Robust regression in computer vision", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25173

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