Applied Probability Trust (3 December 2001) MODELS FOR STATISTICAL ANALYSIS OF RANGE IMAGES
نویسندگان
چکیده
Scenes are made up of objects and the variability in range pixels results from variations in: (i) objects' shapes and (ii) their placements in a scene. For objects with known shapes, we assume a stochastic model on their placements to derive a physical probability model on range pixel. This model leads to univariate and multivariate probability densities on pixel values. For unknown objects present in a scene, we adopt a two-parameter family of probability densities, introduced in [5] and called Bessel K forms, to model the range pixels and their extracted features. Results based on real and simulated range images of forest scenes are presented.
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