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

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 842Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XII, 221 p. 99 illus., 74 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030198169

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.37 23

LOC classification:

TA1634

Online resources:

Click here to access online

Contents:

On Analyzing Motion Data -- Deep Learning on Image and Shape Data -- 2D and 3D Pattern Classication -- Watermarking, Segmentation and Deformations.

In: Springer Nature eBookSummary: 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.

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On Analyzing Motion Data -- Deep Learning on Image and Shape Data -- 2D and 3D Pattern Classication -- Watermarking, Segmentation and Deformations.

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.

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