Robust regression and outlier detection
Robust regression and outlier detection
Segmentation through Variable-Order Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Reflectance Modeling Using a Polychromatic Laser Range Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Channel coding for joint colour and depth segmentation
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
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This paper describe a new algorithm to segment in continuousparametric regions registered color and range images.The algorithm starts with an initial partition of smallfirst order regions using a robust fitting method constrainedby the detection of depth and orientation discontinuities inthe range signal and color edges in the color signal. The algorithmthen optimally group these regions into larger andlarger regions using parametric functions until an approximationlimit is reached. The algorithm uses Bayesian decisiontheory to determine the local optimal grouping andthe complexity of the parametric model used to representthe range and color signals. Experimental results are presented.