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Visar resultat 1 - 5 av 35 uppsatser som matchar ovanstående sökkriterier.

1. 1. Humans in the wild : NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sanvito Alessandro; [2023]
   Nyckelord :Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision; Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision;

   Sammanfattning : Recent advancements in computer vision have led to the emergence of Neural Radiance Fields (NeRFs), a powerful tool for reconstructing photorealistic 3D scenes, even in dynamic settings. However, these methods struggle when dealing with human subjects, especially when the subject is partially obscured or not completely observable, resulting in inaccurate reconstructions of geometries and textures. LÄS MER

3. 2. Analysis and measurement of visuospatial complexity

   Kandidat-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

   Författare :Alissar Al Saleh; [2023]
   Nyckelord :Computer Science; Artificial Intelligence; Visuospatial Complexity; Feature Congestion; Subband Entropy; Visual Clutter; Image annotation.;

   Sammanfattning : The thesis performs an analysis on visuospatial complexity of dynamic scenes, and morespecifically driving scenes in the propose of gaining a knowledge on human visual perception of the visual information present in a typical driving scene. The analysis and measurement of visual complexity is performed by utilizing two different measure modelsfor measuring visual clutter, Feature congestion clutter measure [1] and Subband entropyclutter measure[1] introduced by Rosenholtz, a cognitive science and research. LÄS MER

4. 3. Phong Grass: A dynamic LOD approach to grass rendering

   Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Författare :Oliver Klingspor; [2023]
   Nyckelord :Grass rendering; Level-of-detail; Phong tessellation;

   Sammanfattning : Background: Recreating nature in a virtual environment comes with many aspects and challenges. Grass rendering is a part of this area, and both performance and visual results must be taken into consideration. A common optimization approach is through static level-of-detail (LOD), however, a certain visual loss comes with the use of this. LÄS MER

5. 4. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Liu Mingxuan; [2022]
   Nyckelord :Approximate Computing; Deep Learning; Dynamic Environments; Object Detection; Online Controller; Semantic SLAM; Ungefärlig Beräkning; Djup Lärning; Dynamiska miljöer; Objektdetektion; Online Kontroller; Semantisk SLAM;

   Sammanfattning : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. LÄS MER

7. 5. Visual and performance comparison: Physically based atmosphere method against Unity Universal Render Pipeline procedural skybox

   Kandidat-uppsats,

   Författare :Martin Höglund; Nikki Norberg; [2022]
   Nyckelord :Unity; Physically based atmosphere; aesthetics; realism;

   Sammanfattning : Background. In the pursuit of realism in rendering, a feature that may get overlooked is the sky and atmosphere—especially the consumer who might suspect that something is off without identifying it. A critical aspect of sky rendering is the color that should be dynamic with the time of day to be realistic. LÄS MER