1 option
Efficient Algorithms for Global Optimization Methods in Computer Vision : International Dagstuhl Seminar, Dagstuhl Castle, Germany, November 20-25, 2011, Revised Selected Papers / edited by Andrés Bruhn, Thomas Pock, Xue-Cheng Tai.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 8293
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 8293
- Language:
- English
- Subjects (All):
- Computer vision.
- Algorithms.
- Numerical analysis.
- Computer science.
- Computer Vision.
- Numerical Analysis.
- Computer Science.
- Local Subjects:
- Computer Vision.
- Algorithms.
- Numerical Analysis.
- Computer Science.
- Physical Description:
- 1 online resource (VII, 175 pages) : 128 illustrations
- Edition:
- 1st ed. 2014.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Mathematical Optimization
- Modeling
- Nonconvex Optimization
- Shape Representations.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-54774-4
- 9783642547744
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.