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Robust adaptive segmentation of range images
1998
IEEE Transactions on Pattern Analysis and Machine Intelligence
We propose a novel image segmentation technique using the robust, adaptive least kth order squares (ALKS) estimator which minimizes the kth order statistics of the squared of residuals. The optimal value of k is determined from the data, and the procedure detects the homogeneous surface patch representing the relative majority of the pixels. The ALKS shows a better tolerance to structured outliers than other recently proposed similar techniques: Minimize the Probability of Randomness (MINPRAN)
doi:10.1109/34.659940
fatcat:fnb3hl4tlrdwhkelupdvymmqe4