Computer vision, imaging and computer graphics theory and applications : 16th international joint conference, VISIGRAPP 2021, virtual event, February 8-10, 2021 : revised selected papers / A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha Peck, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch (eds.).
VISIGRAPP (Conference) (16th : 2022 : Online); Sousa, A. Augusto de, editor.; Havran, Vlastimil, editor.; Paljic, Alexis, editor.; Peck, Tabitha, editor.; Hurter, Christophe, editor.; Purchase, Helen C., editor.; Farinella, Giovanni Maria, editor.; Radeva, Petia, editor.; Bouatouch, K. (Kadi), 1950- editor.
2023
TA1634
Available Online

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Title Computer vision, imaging and computer graphics theory and applications : 16th international joint conference, VISIGRAPP 2021, virtual event, February 8-10, 2021 : revised selected papers / A. Augusto de Sousa, Vlastimil Havran, Alexis Paljic, Tabitha Peck, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch (eds.).
Meeting Name VISIGRAPP (Conference) (16th : 2022 : Online)
ISBN 9783031254772 (electronic bk.)
3031254775 (electronic bk.)
9783031254765
DOI https://doi.org/10.1007/978-3-031-25477-2
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xxii, 367 pages) : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-3-031-25477-2 doi
Call Number TA1634
Dewey Decimal Classification 006.3/7
Summary This book constitutes the refereed proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021, held as a virtual event, February 8-10, 2021. The 16 full papers presented in this volume were carefully reviewed and selected from 371 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. The contributions were organized in topical sections as follows: Computer Graphics Theory and Applications; Human Computer Interaction Theory and Applications; Information Visualization Theory and Applications; Computer Vision Theory and Applications.
Note Revised selected conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 7, 2023).
Added Author Sousa, A. Augusto de, editor.
Havran, Vlastimil, editor.
Paljic, Alexis, editor.
Peck, Tabitha, editor.
Hurter, Christophe, editor.
Purchase, Helen C., editor.
Farinella, Giovanni Maria, editor.
Radeva, Petia, editor.
Bouatouch, K. (Kadi), 1950- editor.
Series Communications in computer and information science ; 1691. 1865-0937
Linked Resources Online Access
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Computer Graphics Theory and Applications
Impact of Avatar Representation in a Virtual Reality-based Multi-user Tunnel Fire Simulator for Training Purposes
Facade Layout Completion with Long Short-term Memory Networks
Human Computer Interaction Theory and Applications
Generating Haptic Sensations over Spherical Surface
Effects of Emotion-Induction Words on Memory and Pupillary Reactions while Viewing Visual Stimuli with Audio Guide
A Bimanual Flick-based Japanese Software Keyboard using Direct Kanji Input
Comparison of Cardiac Activity and Subjective Measures during Virtual Reality and Real Aircraft Flight
Information Visualization Theory and Applications
Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-labeling Strategies
Visualization of Source Code Similarity using 2.5D Semantic Software Maps
Revisiting Order-Preserving, Gap-Avoiding Rectangle Packing
Exploratory Data Analysis of Population Level Smartphone-sensed Data
Towards Interactive Geovisualization Authoring Toolkit for Industry Use Cases
Computer Vision Theory and Applications
Global-fiirst Training Strategy with Convolutional Neural Networks to Improve Scale Invariance
Spline-based Dense Medial Descriptors for Image Simplification using Saliency Maps
BS-GAENets: Brain-spatial Feature Learning Via a Graph Deep Autoencoder for Multi-modal Neuroimaging Analysis
Enhancing Backlight and Spotlight Images by the Retinex-inspired Bilateral Filter SuPeR-B
Rethinking RNN-based Video Object Segmentation.

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