Kernel and Subspace Methods for Computer Vision PDF Download
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Author: Aleš Leonardis
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 2199
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Book Description
Author: Aleš Leonardis
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 2199
Get Book Here
Book Description
Author: Aleš Leonardis
Publisher:
ISBN:
Category :
Languages : en
Pages : 276
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Book Description
Author: Aleš Leonardis
Publisher:
ISBN:
Category :
Languages : en
Pages : 275
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Book Description
Author: Tat-Jun Chin
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 270
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
Author: Christoph H. Lampert
Publisher: Now Publishers Inc
ISBN: 1601982682
Category : Computer vision
Languages : en
Pages : 113
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Book Description
Few developments have influenced the field of computer vision in the last decade more than the introduction of statistical machine learning techniques. Particularly kernel-based classifiers, such as the support vector machine, have become indispensable tools, providing a unified framework for solving a wide range of image-related prediction tasks, including face recognition, object detection and action classification. By emphasizing the geometric intuition that all kernel methods rely on, Kernel Methods in Computer Vision provides an introduction to kernel-based machine learning techniques accessible to a wide audience including students, researchers and practitioners alike, without sacrificing mathematical correctness. It covers not only support vector machines but also less known techniques for kernel-based regression, outlier detection, clustering and dimensionality reduction. Additionally, it offers an outlook on recent developments in kernel methods that have not yet made it into the regular textbooks: structured prediction, dependency estimation and learning of the kernel function. Each topic is illustrated with examples of successful application in the computer vision literature, making Kernel Methods in Computer Vision a useful guide not only for those wanting to understand the working principles of kernel methods, but also for anyone wanting to apply them to real-life problems.
Author: Yasushi Yagi
Publisher: Springer
ISBN: 3540763902
Category : Computers
Languages : en
Pages : 934
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Book Description
This title is part of a two volume set that constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007. Coverage includes shape and texture, image and video processing, face and gesture, tracking, camera networks, learning, motion and tracking, retrieval and search, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.
Author: Anand Rangarajan
Publisher: Springer Science & Business Media
ISBN: 3540302875
Category : Computers
Languages : en
Pages : 671
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Book Description
This book constitutes the refereed proceedings of the 5th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2005, held in St. Augustine, FL, USA in November 2005. The 24 revised full papers and 18 poster papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on probabilistic and informational approaches, combinatorial approaches, variational approaches, and other approaches and applications.
Author: Reinhard Koch
Publisher: Springer
ISBN: 3642228194
Category : Computers
Languages : en
Pages : 467
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Book Description
The two-volume set LNCS 6468-6469 contains the carefully selected and reviewed papers presented at the eight workshops that were held in conjunction with the 10th Asian Conference on Computer Vision, in Queenstown, New Zealand, in November 2010. From a total of 167 submissions to all workshops, 89 papers were selected for publication. The contributions are grouped together according to the main workshops topics, which were: computational photography and aesthetics; computer vision in vehicle technology: from Earth to Mars; electronic cultural heritage; subspace based methods; video event categorization, tagging and retrieval; visual surveillance; application of computer vision for mixed and augmented reality.
Author: P.J. Narayanan
Publisher: Springer
ISBN: 3540324321
Category : Computers
Languages : en
Pages : 1005
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Book Description
These volumes present together a total of 64 revised full papers and 128 revised posters papers. The papers are organized in topical sections on camera calibration, stereo and pose, texture, face recognition, variational methods, tracking, geometry and calibration, lighting and focus, in the first volume. The papers of the second volume cover topics as detection and applications, statistics and kernels, segmentation, geometry and statistics, signal processing, and video processing.
