Ing.

Tomáš Chlubna

Ph.D. student

+420 54114 1474
ichlubna@fit.vut.cz
Q202 DCGM Laboratory
165205/BUT personal ID

Publications

  • 2024

    CHLUBNA Tomáš, MILET Tomáš and ZEMČÍK Pavel. Automatic 3D-Display-Friendly Scene Extraction from Video Sequences and Optimal Focusing Distance Identification. Multimedia Tools and Applications, vol. 83, no. 7, 2024, pp. 1-29. ISSN 1573-7721.
    Detail

    CHLUBNA Tomáš, ZEMČÍK Pavel and MILET Tomáš. Efficient Random-Access GPU Video Decoding for Light-Field Rendering. Journal of Visual Communication and Image Representation, vol. 2024, no. 102, pp. 1-14. ISSN 1047-3203.
    Detail

    CHLUBNA Tomáš, MILET Tomáš and ZEMČÍK Pavel. How Capturing Camera Trajectory Distortion Affects User Experience on Looking Glass 3D Display. Multimedia Tools and Applications, vol. 2024, no. 83, pp. 20265-20287. ISSN 1573-7721.
    Detail

    CHLUBNA Tomáš, MILET Tomáš and ZEMČÍK Pavel. Lightweight All-Focused Light Field Rendering. Computer Vision and Image Understanding, vol. 244, no. 7, 2024, pp. 7-8. ISSN 1077-3142.
    Detail

  • 2023

    CHLUBNA Tomáš, MILET Tomáš, ZEMČÍK Pavel and KULA Michal. Real-Time Light Field Video Focusing and GPU Accelerated Streaming. Journal of Signal Processing Systems, vol. 95, no. 6, 2023, pp. 703-719. ISSN 1939-8115.
    Detail

  • 2022

    BAŘINA David, ŠOLONY Marek, CHLUBNA Tomáš, DLABAJA Drahomír, KLÍMA Ondřej and ZEMČÍK Pavel. Comparison of light field compression methods. Multimedia Tools and Applications, vol. 81, no. 2, 2022, pp. 2517-2528. ISSN 1573-7721.
    Detail

  • 2021

    CHLUBNA Tomáš, MILET Tomáš and ZEMČÍK Pavel. Real-time per-pixel focusing method for light field rendering. Computational Visual Media, vol. 2021, no. 7, pp. 319-333. ISSN 2096-0662.
    Detail

  • 2019

    BAŘINA David, CHLUBNA Tomáš, ŠOLONY Marek, DLABAJA Drahomír and ZEMČÍK Pavel. Evaluation of 4D Light Field Compression Methods. In: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Part I. Computer Science Research Notes (CSRN), vol. 2019. Plzeň: Union Agency, 2019, pp. 55-61. ISBN 978-80-86943-37-4.
    Detail

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