0000000000591984

AUTHOR

Andreas Koschan

showing 3 related works from this author

Multiresolution Analysis for Irregular Meshes

2003

International audience; The concept of multiresolution analysis applied to irregular meshes has become more and more important. Previous contributions proposed a variety of methods using simplification and/or subdivision algorithms to build a mesh pyramid. In this paper, we propose a multiresolution analysis framework for irregular meshes with attributes. Our framework is based on simplification and subdivision algorithms to build a mesh pyramid. We introduce a surface relaxation operator that allows to build a non-uniform subdivision for a low computational cost. Furthermore, we generalize the relaxationoperator to attributes such as color, texture, temperature, etc. The attribute analysis…

Surface (mathematics)Theoretical computer scienceMultiresolution analysisNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]02 engineering and technology[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]01 natural sciencesmultiresolution analysisIrregular mesh010309 opticsOperator (computer programming)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0103 physical sciences0202 electrical engineering electronic engineering information engineeringPolygon meshPyramid (image processing)SubdivisionMathematicsComputingMethodologies_COMPUTERGRAPHICSbusiness.industrysurface attributes[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringsurface relaxation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science::Graphics[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]Computer Science::Computer Vision and Pattern RecognitionRelaxation (approximation)businessAlgorithm
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Multiresolution Analysis for Meshes with Appearance Attributes

2005

International audience; We present a new multiresolution analysis framework for irregular meshes with attributes based on the lifting scheme. We introduce a surface prediction operator to compute the detail coefficients for the geometry and the attributes of the model. Attribute analysis gives appearance information to complete the geometrical analysis of the model. A set of experimental results are given to show the efficiency of our framework. We present two applications to adaptive visual-ization and denoising.

Surface (mathematics)Lifting schemeGeometric analysisNoise reductionMultiresolution analysis[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]02 engineering and technology[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]01 natural sciences010309 opticsSet (abstract data type)Operator (computer programming)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0103 physical sciences0202 electrical engineering electronic engineering information engineeringPolygon meshMathematicsComputingMethodologies_COMPUTERGRAPHICSbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognition[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]Artificial intelligencebusiness
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Studies on the Effectiveness of Multispectral Images for Face Recognition: Comparative Studies and New Approaches

2013

In this paper, we investigate face recognition in unconstrained illumination conditions. A twofold contribution is proposed: First, three state of the art algorithms, namely Multiblock Local Binary Pattern (MBLBP), Histogram of Gabor Phase Patterns (HGPP) and Local Gabor Binary Pattern Histogram Sequence (LGBPHS) are challenged against the IRIS-M3 multispectral face data base to evaluate their robustness against high illumination variation. Second, we propose to enhance the Performance of the three mentioned algorithms, which has been drastically decreased because of the non-monotonic illumination variation that distinguishes the IRIS-M3 face database. Instead of the usual braod band images…

Computer sciencebusiness.industryLocal binary patternsMultispectral imageFeature extractionPattern recognitionSpectral bandsBinary patternFacial recognition systemRobustness (computer science)HistogramComputer visionArtificial intelligencebusiness2013 International Conference on Signal-Image Technology & Internet-Based Systems
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