Geometry, Morphology, and Computational Imaging
11th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, April 7-12,2002, Revised Papers, Lecture Notes in Computer Science 2616
Erschienen am
08.04.2003
Beschreibung
InhaltsangabeFlat Morphological Operators on Arbitrary Power Lattices.- Quantification of the Spatial Distribution of Line Segments with Applications to CAD of Chest X-Ray CT Images.- Fan Clouds - An Alternative to Meshes.- Combinatorial and Geometric Problems Related to Digital Halftoning.- All Points Considered: A Maximum Likelihood Method for Motion Recovery.- Distance Map Based Enhancement for Interpolated Images.- Multigrid Convergence and Surface Area Estimation.- Geometric Structure and Randomness in Texture Analysis and Synthesis.- Morphological Texture Analysis Using Optimization of Structuring Elements.- Unifying Quantitative, Semi-quantitative and Qualitative Spatial Relation Knowledge Representations Using Mathematical Morphology.- A New Class of Morphological Pyramids for Multiresolution Image Analysis.- Root Images of Median Filters - Semi-topological Approach.- Medial Set, Boundary, and Topology of Random Point Sets.- Scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow.- Hyperfigures and Their Interpretations.- Polygon Decomposition Based on the Straight Line Skeleton.- Reestablishing Consistency of Uncertain Geometric Relations in Digital Images.- Inverse Quantization for Resolution Conversion.- Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization.- Deriving Topological Representations from Edge Images.- Calibration of Panoramic Cameras Using 3D Scene Information.- Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework.- From Digital Plane Segmentation to Polyhedral Representation.- Lines as the Fundamental Unit of Vision.- Topological Analysis and Characterization of Discrete Scalar Fields.- External versus Internal Parameterizations for Lengths of Curves with Nonuniform Samplings.- Denoising Images: Non-linear Leap-Frog for Shape and Light-Source Recovery.
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