Computer Vision Applications
Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers
Published on 15. November 2019
Book
Paperback/Softback
IX, 129 pages
978-981-15-1386-2 (ISBN)
Description
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 applications.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
20 s/w Abbildungen, 40 farbige Abbildungen
IX, 129 p. 60 illus., 40 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
224 gr
ISBN-13
978-981-15-1386-2 (9789811513862)
DOI
10.1007/978-981-15-1387-9
Schweitzer Classification
Other editions
Additional editions
Chetan Arora | Kaushik Mitra
Computer Vision Applications
Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers
E-Book
11/2019
Springer
€53.49
Available for download
Content
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 Classification.