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Advances in Computer Vision

Verkaufsrang5080inTechnik
E-BookPDF1 - PDF WatermarkeBook
821 Seiten
Englisch
Springer-Verlag GmbHerschienen am23.04.2019
Verfügbare Formate
HardcoverKartoniert, Paperback
EUR235,39
E-BookPDF1 - PDF WatermarkeBook
EUR223,63
E-BookPDF1 - PDF WatermarkeBook
EUR213,99
This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers,...mehr
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Produkt

KlappentextThis book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 120 (including 7 poster papers) were selected for inclusion in these proceedings.
The book's goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.
Details
ProduktartE-Book
EinbandarteBook
FormatPDF
Format Hinweis1 - PDF Watermark
Jahr2019
Erschienen am23.04.2019
Auflage1st ed. 2020
Seiten821 Seiten
SpracheEnglisch
Dateigrösse144022 Kbytes
Illustrationen154 schwarz-weiße und 359 farbige Abbildungen, 100 farbige Tabellen, Bibliographie
Artikel-Nr.28593187

Inhalt/Kritik

InhaltsverzeichnisDeep Learning for Detection of Railway Signs and Signals.- 3D Conceptual Design using Deep Learning.- The Effect of Color Channel Representations on the Transferability of Convolutional Neural Networks.- Weakly Supervised Deep Metric Learning for Template Matching.- Deep Learning vs. Traditional Computer Vision.- Deep Cross-modal Age Estimation.- No-reference Image Denoising Quality Assessment....mehr

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