Πλοήγηση ανά Συγγραφέας "Lisitsa, Evgkenia"

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  • Μικρογραφία εικόνας
    Τεκμήριο
    3D view generation and view synthesis based on 2D data.
    (ΕΛ.ΜΕ.ΠΑ., Σχολή Μηχανικών (ΣΜΗΧ), ΠΜΣ Πληροφορική και Πολυμέσα, 2023-10-05) Lisitsa, Evgkenia; Λισίτσα, Εβγκένια
    The simplification of view synthesis and complex geometry generation is a constantly evolving topic in computer science. The need to develop an efficient methodology to recreate real-world data based on a simple dataset, such as a sequence of images, has become even more crucial with the recent technological advances that allow higher-resolution graphics even on simple devices. Extraction of 3D data from a sequence of photos (photogrammetry) is a challenging, process-intensive, and extremely time-consuming procedure. Usually, photogrammetry requires taking a great number of sample photos to efficiently extract the geometry in the form of point clouds and then to be able to post-process the geometry to generate views. The main goal of this master's thesis is to understand and examine the state of the art in photogrammetry and novel view synthesis. The focus of this thesis is to examine the creation of images directly from voxel-based data representations, postponing the intermediate step of extracting geometries. This problem appears in the literature as the "Novel View Synthesis" problem. Additionally, this thesis aims to find out the limitations that currently exist in photogrammetry and novel view synthesis approaches. By identifying these limitations, it will be possible to improve future studies and develop new techniques to reduce the user intervention and computation power required for photogrammetry.