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Graph-based methods in computer vision : developments and applications

Author: Bai Xiao; Jian Cheng; Edwin R Hancock; IGI Global.
Publisher: Hershey, Pa. : Information Science Reference, ©2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"This book addresses problems related to applying graph-based methods in computer vision, including accounts of the latest developments in graph-based methodology and its application to a variety of problems in computer vision such as image segmentation, image matching and classification where graph-based methods play a vital role"--Provided by publisher.
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
(DLC) 2012004763
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Bai Xiao; Jian Cheng; Edwin R Hancock; IGI Global.
ISBN: 9781466618923 1466618922
OCLC Number: 807849538
Description: 1 online resource (xviii, 375 pages) : illustrations (some color)
Contents: Graph matching techniques for computer vision / Mario Vento, Pasquale Foggia --
Geometric-edge random graph model for image representation / Jiang Bo, Tang Jing, Luo Bin --
The node-to-node graph matching algorithm schema / Guoxing Zhao, Jixin Ma --
Unsupervised and supervised image segmentation using graph partitioning / Charles-Edmond Bichot --
Motion segmentation and matting by graph cut / Jiangjian Xiao --
Hypergraph based visual segmentation and retrieval / Yuchi Huang --
Recent advances on graph-based image segmentation techniques / Chao Zeng [and others] --
Graph embedding using dissimilarities with applications in classification / Horst Bunke, Kaspar Riesen --
Generative group activity analysis with quaternion descriptor / Guangyu Zhu [and others] --
Shape retrieval and classification based on geodesic paths in skeleton graphs / Xiang Bai [and others] --
Discriminative feature selection in image classification and retrieval / Shang Liu, Xiao Bai --
Normalized projection and graph embedding via angular decomposition / Dengdi Sun [and others] --
Region-based graph learning towards large scale image annotation / Bao Bing-Kun, Yan Shuicheng --
Copy detection using graphical model: HMM for frame fusion / Shikui Wei, Yao Zhao, Zhenfeng Zhu --
Multi-scale exemplary based image super-resolution with graph generalization / Wang Jinjun --
Graph heat kernel based image smoothing / Zhang Fan, Edwin Hancock, Liu Shang.
Responsibility: Xiao Bai, Jian Cheng, and Edwin Hancock, editors.

Abstract:

Presents a sampling of the research issues related to applying graph-based methods in computer vision. These methods have been under-utilized in the past, but use must now be increased because of  Read more...

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