Computer vision, imaging and computer graphics theory and applications : 16th international joint conference, VISIGRAPP 2021, virtual event, February 8-10, 2021, revised selected papers / / edited by A. Augusto de Sousa |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (382 pages) |
Disciplina | 016.503 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer graphics
Computer vision |
ISBN | 3-031-25477-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910647786503321 |
Cham, Switzerland : , : Springer, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computer vision, imaging and computer graphics theory and applications : 16th international joint conference, VISIGRAPP 2021, virtual event, February 8-10, 2021, revised selected papers / / edited by A. Augusto de Sousa |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
Descrizione fisica | 1 online resource (382 pages) |
Disciplina | 016.503 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Computer graphics
Computer vision |
ISBN | 3-031-25477-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNISA-996546828903316 |
Cham, Switzerland : , : Springer, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|