Computer Vision Applications : Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers / edited by Chetan Arora, Kaushik Mitra

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Communications in Computer and Information Science ; 1019 | Springer eBooks Computer SciencePublisher: Singapore : Springer, 2019Edition: 1st ed. 2019Description: 1 Online-Ressource (IX, 129 p. 60 illus., 40 illus. in color)ISBN:

9789811513879

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Additional physical formats: 9789811513862 | Erscheint auch als: 978-981-15-1386-2 Druck-AusgabeDDC classification:

006.6 23
006.37 23

LOC classification:

TA1630-1650

DOI: DOI: 10.1007/978-981-15-1387-9Online resources:

Summary: Depth augmented Semantic Segmentation networks for Automated Driving -- Optic Disc Segmentation in Fundus Images Using Anatomical Atlases with Nonrigid Registration -- Bird Species Classification using Transfer Learning with Multistage Training -- A Deep Learning Paradigm for Automated Face Attendance -- Robust Detection of Iris Region Using an Adapted SSD Framework -- Dynamic Image Networks for Human Fall Detection in 360-degree Videos -- Image segmentation and geometric feature based approach for fast video summarization of surveillance videos -- Supervised Hashing for Retrieval of Multimodal Biometric data -- Pose estimation for Distracted Driver Detection using Deep Convolutional Neural Networks -- AECNN: Autoencoder with Convolutional Neural Network for Hyperspectral Image ClassificationSummary: This book constitutes the refereed proceedings of the third Workshop on Computer Vision Applications, WCVA 2018, held in Conjunction with ICVGIP 2018, in Hyderabad, India, in December 2018. The 10 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers focus on computer vision; industrial applications; medical applications; and social applicationsPPN: PPN: 1684970822Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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