Optimization Techniques in Computer Vision
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portes grátis
Optimization Techniques in Computer Vision
Ill-Posed Problems and Regularization
Gribok, Andrei V.; Paik, Joonki; Abidi, Mongi A.
Springer International Publishing AG
07/2018
293
Mole
Inglês
9783319835013
15 a 20 dias
480
Descrição não disponível.
Ill-Posed Problems in Imaging and Computer Vision.- Selection of the Regularization Parameter.- Introduction to Optimization.- Unconstrained Optimization.- Constrained Optimization.- Frequency-Domain Implementation of Regularization.- Iterative Methods.- Regularized Image Interpolation Based on Data Fusion.- Enhancement of Compressed Video.- Volumetric Description of Three-Dimensional Objects for Object Recognition.- Regularized 3D Image Smoothing.- Multi-Modal Scene Reconstruction Using Genetic Algorithm-Based Optimization.- Appendix A: Matrix-Vector Representation for Signal Transformation.- Appendix B: Discrete Fourier Transform.- Appendix C: 3D Data Acquisition and Geometric Surface Reconstruction.- Appendix D: Mathematical Appendix.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
regularization parameter selection;shape representation in image processing;image interpolation algorithms;regularization methods for linear inverse problems;one dimensional optimization;unconstrained optimization methods;optimization with linear constraints;3D image smoothing;3D volumetric description;algorithm analysis and problem complexity
Ill-Posed Problems in Imaging and Computer Vision.- Selection of the Regularization Parameter.- Introduction to Optimization.- Unconstrained Optimization.- Constrained Optimization.- Frequency-Domain Implementation of Regularization.- Iterative Methods.- Regularized Image Interpolation Based on Data Fusion.- Enhancement of Compressed Video.- Volumetric Description of Three-Dimensional Objects for Object Recognition.- Regularized 3D Image Smoothing.- Multi-Modal Scene Reconstruction Using Genetic Algorithm-Based Optimization.- Appendix A: Matrix-Vector Representation for Signal Transformation.- Appendix B: Discrete Fourier Transform.- Appendix C: 3D Data Acquisition and Geometric Surface Reconstruction.- Appendix D: Mathematical Appendix.- Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
regularization parameter selection;shape representation in image processing;image interpolation algorithms;regularization methods for linear inverse problems;one dimensional optimization;unconstrained optimization methods;optimization with linear constraints;3D image smoothing;3D volumetric description;algorithm analysis and problem complexity
