Computer Vision, Imaging and Computer Graphics Theory and Applications 16th International Joint Conference, VISIGRAPP 2021, Virtual Event, February 8–10, 2021, Revised Selected Papers /
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 s...
שמור ב:
| מחבר תאגידי: | |
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| מחברים אחרים: | , , , , , , , , |
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
| יצא לאור: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| מהדורה: | 1st ed. 2023. |
| סדרה: | Communications in Computer and Information Science,
1691 |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/978-3-031-25477-2 |
| תגים: |
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תוכן הענינים:
- 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.