Computer vision, imaging and compute...
VISIGRAPP (Conference) (2022 :)

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  • Computer vision, imaging and computer graphics theory and applications = 16th International Joint Conference, VISIGRAPP 2021, virtual event, February 8-10, 2021 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computer vision, imaging and computer graphics theory and applications/ edited by A. Augusto de Sousa ... [et al.].
    其他題名: 16th International Joint Conference, VISIGRAPP 2021, virtual event, February 8-10, 2021 : revised selected papers /
    其他題名: VISIGRAPP 2021
    其他作者: Sousa, A. Augusto de.
    團體作者: VISIGRAPP (Conference)
    出版者: Cham :Springer International Publishing : : 2023.,
    面頁冊數: xxii, 367 p. :ill. (chiefly color), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-25477-2
    ISBN: 9783031254772
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