Computer Analysis of Images and Patterns
17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part II
Published on 28. July 2017
Book
Paperback/Softback
XVI, 487 pages
978-3-319-64697-8 (ISBN)
Description
The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017.
The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions.
The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
211 s/w Abbildungen
XVI, 487 p. 211 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 28 mm
Weight
756 gr
ISBN-13
978-3-319-64697-8 (9783319646978)
DOI
10.1007/978-3-319-64698-5
Schweitzer Classification
Other editions
Additional editions
Michael Felsberg | Anders Heyden | Norbert Krüger
Computer Analysis of Images and Patterns
17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part II
E-Book
08/2017
Springer
€53.49
Available for download
Content
Vision for Robotics.- Motion and Tracking.- Segmentation.- Image/Video Indexing and Retrieval.- Shape Representation and Analysis.- Biomedical Image Analysis.- Biometrics.- Machine Learning.- Image Restoration.