1.

Record Nr.

UNINA9910337858103321

Titolo

Reproducible Research in Pattern Recognition : Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers / / edited by Bertrand Kerautret, Miguel Colom, Daniel Lopresti, Pascal Monasse, Hugues Talbot

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019

ISBN

3-030-23987-X

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (X, 157 p. 172 illus., 61 illus. in color.)

Collana

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11455

Disciplina

006.4

Soggetti

Pattern recognition

Optical data processing

Software engineering

Artificial intelligence

Pattern Recognition

Image Processing and Computer Vision

Software Engineering

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Reproducible Research -- Reproducibility -- Pattern Recognition -- Image Processing -- Image Analysis -- Computer Vision -- Digital Geometry -- Semi-supervised Learning -- Shape analysis -- Evaluation Framework -- Document Image Analysis -- Image Denoising -- Robust Image Processing -- Structure from Motion -- Multiple-view Geometry -- Segment Detection -- IPOL. .

Sommario/riassunto

This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018, in Beijing, China in August 2018. The 8 revised full papers, presented together 6 short papers, were carefully reviewed and selected from 14 submissions. This year the workshop did focus on Digital Geometry and Mathematical



Morphology. The first track 1 on RR Framework was dedicated to the general topics of Reproducible Research in Computer Science with a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.