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This volume presents the peer-reviewed proceedings of the
international conference Imaging, Vision and Learning Based on
Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in
August/September 2016. The contributions cover state-of-the-art
research on mathematical techniques for image processing, computer
vision and machine learning based on optimization and partial
differential equations (PDEs). It has become an established
paradigm to formulate problems within image processing and computer
vision as PDEs, variational problems or finite dimensional
optimization problems. This compact yet expressive framework makes
it possible to incorporate a range of desired properties of the
solutions and to design algorithms based on well-founded
mathematical theory. A growing body of research has also approached
more general problems within data analysis and machine learning
from the same perspective, and demonstrated the advantages over
earlier, more established algorithms. This volume will appeal to
all mathematicians and computer scientists interested in novel
techniques and analytical results for optimization, variational
models and PDEs, together with experimental results on applications
ranging from early image formation to high-level image and data
analysis.
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Energy Minimization Methods in Computer Vision and Pattern Recognition - 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings (Paperback, 2014 ed.)
Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
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R3,099
Discovery Miles 30 990
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Ships in 10 - 15 working days
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This volume constitutes the refereed proceedings of the 10th
International Conference on Energy Minimization Methods in Computer
Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong,
China, in January 2015. The 36 revised full papers were carefully
reviewed and selected from 45 submissions. The papers are organized
in topical sections on discrete and continuous optimization; image
restoration and inpainting; segmentation; PDE and variational
methods; motion, tracking and multiview reconstruction; statistical
methods and learning; and medical image analysis.
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