This edited volume explores several issues relating to parametric
segmentation including robust operations, model selection criteria
and automatic model selection, plus 2D and 3D scene segmentation.
Emphasis is placed on robust model selection with techniques such
as robust Mallows Cp, least K-th order statistical model fitting
(LKS), and robust regression receiving much attention. With
contributions from leading researchers, this is a valuable resource
for researchers and graduated students working in computer vision,
pattern recognition, image processing and robotics.
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