Reproducible Research in Pattern Recognition - Second International Workshop, RRPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers

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 Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.

Sommario

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. 

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 Sciencewith a potential link to Image Processing and Pattern Recognition. In the second track 2 the authors described their works in terms of Reproducible Research.

Dettagli sul prodotto

• Con la collaborazione di: Miguel Colom (Editore), Bertrand Kerautret (Editore), Daniel Lopresti (Editore), Pascal Monasse (Editore), Hugues Talbot (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 29.06.2019
• EAN: 9783030239862
• ISBN: 978-3-0-3023986-2
• Pagine: 157
• Dimensioni: 155 mm x 235 mm x 9 mm
• Peso: 266 g
• Illustrazioni: X, 157 p. 172 illus., 61 illus. in color.
• Serie: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo; C, Künstliche Intelligenz, Software Engineering, Artificial Intelligence, Maschinelles Sehen, Bildverstehen, computer science, Computer Vision, Image Processing and Computer Vision, pattern recognition, Automated Pattern Recognition, Optical data processing, Image processing