Robust Computer Vision through Kernel Density Estimation


Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently employed in computer vision. The first technique draws from the projection pursuit paradigm in statistics, and carries out regression Mestimation with a weak dependence on the accuracy of the… (More)
DOI: 10.1007/3-540-47969-4_16


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