Efficient Algorithms for Global Optimization Methods in Computer Vision: International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers: Lecture Notes in Computer Science, cartea 8293
Editat de Andrés Bruhn, Thomas Pock, Xue-Cheng Taien Limba Engleză Paperback – 21 mai 2014
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Specificații
ISBN-13: 9783642547737
ISBN-10: 3642547737
Pagini: 184
Ilustrații: VII, 175 p. 128 illus.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642547737
Pagini: 184
Ilustrații: VII, 175 p. 128 illus.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.27 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Mathematical Optimization.- Modeling.- Nonconvex Optimization.- Shape Representations.
Textul de pe ultima copertă
This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.
The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar.
The seminar focused on the entire algorithmic development pipeline for global optimization problems in
computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.
The 8 revised full papers presented were carefully reviewed and selected by 12 lectures given at the seminar.
The seminar focused on the entire algorithmic development pipeline for global optimization problems in
computer vision: modelling, mathematical analysis, numerical solvers and parallelization. In particular, the goal of the seminar was to bring together researchers from all four fields to analyze and discuss the connections between the different stages of the algorithmic design pipeline.
Caracteristici
Discusses recent advances and challenges in the design and the solution of global optimization methods applied in computer vision for fundamental problems such as stereo reconstruction, image restoration, and object segmentation Interdisciplinary set of authors, including researchers from mathematics and computer science The contributions in this volume reflect the state of the art in the field Includes supplementary material: sn.pub/extras