Advances in Computer Vision

A semidiscrete nonlinear scale-space theory and its relation to the Perona-Malik paradox.- Topological approach to mathematical morphology.- Segmentation by watersheds: definition and parallel implementation.- A graph network for image segmentation.- Associative memory for images by recurrent neural subnetworks.- Optimal models for visual recognition.- Order of points on a line segment.- Subjective contours detection.- Texture feature based interaction maps: potential and limits.- Non-Markov Gibbs image model with almost local pairwise pixel interactions.- Equivalent contraction kernels to build dual irregular pyramids.- Towards a generalized primal sketch.- Categorization through temporal analysis of patterns.- Detection of regions of interest via the Pyramid Discrete Symmetry Transform.- Dense depth maps by active color illumination and image pyramids.- Local and global integration of discrete vector fields.- A new approach to shape from shading.- Recent uniqueness results in shape from shading.- Computation of time-varying motion and structure parameters from real image sequences.- A theory of occlusion in the context of optical flow.- Algebraic method for solution of some best matching problems.- Determining the attitude of planar objects with general curved contours from a single perspective view.- CAD based 3D object recognition on range images.- Dual quaternions for absolute orientation and hand-eye calibration.- Segmentation of behavioral spaces for navigation tasks.- Geometric algebra as a framework for the perception-action cycle.- List of contributors.

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