Titlebook: Noblesse Workshop on Non-Linear Model Based Image Analysis; Proceedings of NMBIA Stephen Marshall,Neal Richard Harvey,Druti Shah Conference

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3D Binary Fast Morphological Shape Decompositionuccessive 3D erosions and dilations, using 3D structuring elements of arbitrary size and shape. The proposed fast shape decomposition algorithm is based on a fast implementation of the basic morphological operation of Minkowski addition for the special case of binary 3D images (binary volumes). Expe

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A Simplified Representation of 3D Human Faces adapted from 2D Imagespon which certain protuberant points are automatically detected- and the adaptation of a generic 3D head model (polygon mesh) according to the information gained by the available views. This mesh provides shape information which -combined with texture information- efficiently describes specific 3D h

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Active Shape Model-Assisted Least Squares Stereo Matching for Recovery of 3-D Facial Shape search technique depends crucially on the provision of good initial disparity estimates between search and target windows. Here, we obtain these using an Active Shape Model (ASM) search to first localise important image features, such as the eyes, nose, mouth and facial border. Disparity values are

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Parallel Implementation of a 3D Nonlinear Restoration Algorithmis can be carried out on such images, they must be processed further to remove the aberrations. This task is best performed by nonlinear, rather than linear, restoration incorporating a priori knowledge about the image. A nonlinear restoration is often computationally much more intensive than the li

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A Perception-Based Error Criterion and the Design of Stack Filters for Image Restorationis best is that which produces an image that a human being would judge to be closest to the original image. In this paper, we show how such an optimal tradeoff can be achieved by combining a filter design algorithm with a nonlinear model of the human visual system..Specifically, we provide a method

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