Representations, Analysis and Recognition of Shape and Motion from Imaging Data : 7th International Workshop, RFMI 2017, Savoie, France, December 17-20, 2017, Revised Selected Papers /

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Bibliographic Details
Meeting name:	International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data (7th : 2017 : Savoie, France)
Imprint:	Cham, Switzerland : Springer, 2019.
Description:	1 online resource (xii, 221 pages) : illustrations (some color)
Language:	English
Series:	Communications in Computer and Information Science, 1865-0929 ; 842 Communications in computer and information science ; 842.
Subject:	Computer vision -- Congresses. Pattern recognition systems -- Congresses. Image processing -- Digital techniques -- Congresses. Computer vision. Image processing -- Digital techniques. Pattern recognition systems. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11895316

Hidden Bibliographic Details
Varying Form of Title:	RFMI 2017
Other authors / contributors:	Chen, Liming (Computer scientist), editor. Ben Amor, Boulbaba, editor. Ghorbel, Faouzi, editor.
ISBN:	9783030198169 3030198162 3030198154 9783030198152 9783030198176 3030198170 9783030198152
Digital file characteristics:	text file PDF
Notes:	Includes author index. Online resource; title from PDF title page (SpringerLink, viewed May 10, 2019).
Summary:	This book constitutes the refereed proceedings of the 7th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2017, held in Savoi, France, in December 2017. The 8 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on analyzing motion data; deep learning on image and shape data; 2D and 3D pattern classification; watermarking, segmentation and deformations.
Other form:	Printed edition: 9783030198152 Printed edition: 9783030198176
Standard no.:	10.1007/978-3-030-19816-9 10.1007/978-3-030-19

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