Sökning: "Radiance"

Visar resultat 1 - 5 av 39 uppsatser innehållade ordet Radiance.

  1. 1. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Vilma Ylvén; Oscar Montelin; [2024]
    Nyckelord :Technology and Engineering; Mathematics and Statistics;

    Sammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER

  2. 2. Evaluation of Swedish daylight regulations in university building - Validation and applicability

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Cédric Berthou; [2024]
    Nyckelord :Daylight; Sweden; University building; modelling; Grasshopper; building performance simulation; Dagsljus; svenska föreskrifter; universitetsbyggnad; 3D-modellering; Grasshopper;

    Sammanfattning : Daylight availability in buildings faces numerous challenges in a world where energy efficiency,thermal comfort, and sustainability take center stage. Daylight is well-known for its role in reducingartificial lighting consumption and enhancing the well-being and performance of building occupants. LÄS MER

  3. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erica Ingerstad; Liv Kåreborn; [2024]
    Nyckelord :NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Sammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER

  4. 4. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Roos Eline Bottema; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. LÄS MER

  5. 5. Proposal for revised criteria for daylight provision for the European Daylight Standard EN 17037:2018+A1

    Master-uppsats, Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljö

    Författare :Zhengyu Jin; Xintong Chen; [2023]
    Nyckelord :Daylight; Residential; European Standards; Compliance; Spatial Daylight Autonomy; Technology and Engineering;

    Sammanfattning : The European daylight standard EN 17037 was first introduced in 2018 with the aim of encouraging building designers to evaluate and ensure adequate daylight provision in buildings. However, experience has shown that the standard’s criteria are generally perceived to be too challenging to achieve. LÄS MER