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Advances in computer vision = proceedings of the 2019 Computer Vision Conference (CVC). Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in computer vision/ edited by Kohei Arai, Supriya Kapoor.
Reminder of title:	proceedings of the 2019 Computer Vision Conference (CVC)
other author:	Arai, Kohei.
corporate name:	Computer Vision Conference
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xii, 821 p. :ill., digital ;24 cm.
[NT 15003449]:	Deep 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 -- Plant Leaf Disease Detection using Adaptive Neuro-Fuzzy Classification -- Fusion of CNN- and COSFIRE-based Features with Application to Gender Recognition from Face Images -- Learning of Shape Models from Exemplars of Biological Objects in Images -- Researcher Profile Ontology for Academic Environment.
Contained By:	Springer eBooks
Subject:	Computer vision - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-17795-9
ISBN:	9783030177959

Advances in computer vision = proceedings of the 2019 Computer Vision Conference (CVC). Volume 1 /
Advances in computer visionproceedings of the 2019 Computer Vision Conference (CVC)Volume 1 /[electronic resource] :edited by Kohei Arai, Supriya Kapoor. - Cham :Springer International Publishing :2020. - xii, 821 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.9432194-5357 ;. - Advances in intelligent systems and computing ;v.943..

Deep 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 -- Plant Leaf Disease Detection using Adaptive Neuro-Fuzzy Classification -- Fusion of CNN- and COSFIRE-based Features with Application to Gender Recognition from Face Images -- Learning of Shape Models from Exemplars of Biological Objects in Images -- Researcher Profile Ontology for Academic Environment.

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, 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.

ISBN: 9783030177959

Standard No.: 10.1007/978-3-030-17795-9doiSubjects--Topical Terms:

570734
Computer vision
--Congresses.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Advances in computer vision = proceedings of the 2019 Computer Vision Conference (CVC). Volume 1 /
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505 0 $a Deep 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 -- Plant Leaf Disease Detection using Adaptive Neuro-Fuzzy Classification -- Fusion of CNN- and COSFIRE-based Features with Application to Gender Recognition from Face Images -- Learning of Shape Models from Exemplars of Biological Objects in Images -- Researcher Profile Ontology for Academic Environment.
520 $a 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, 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.
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700 1 $a Arai, Kohei. $3 2134666
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