Sökning: "3d visual"

Visar resultat 1 - 5 av 338 uppsatser innehållade orden 3d visual.

  1. 1. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Abhinav Chitta; [2024]
    Nyckelord :;

    Sammanfattning : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. LÄS MER

  3. 2. 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

  4. 3. Sea of Unity – Ett spel för samarbete

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Izabell Arvidsson; Markus Grahn; Oskar Pålsson; Kevin Tan Quach; Malin Rosén; Kevin Rylander; [2023-03-03]
    Nyckelord :Samarbete; 4in1; Asymmetri; Speldesignmönster; Unity;

    Sammanfattning : The most popular games nowadays, both single and multiplayer, are often focused on individual achievements instead of the whole team’s accomplishment. This paper aims to explore how to make a game that is designed with cooperation in mind and how to implement it in 4in1-game. LÄS MER

  5. 4. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marcus Ascard; Farjam Movahedi; [2023]
    Nyckelord :3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Sammanfattning : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. LÄS MER

  7. 5. Shape depiction using Local Light Alignment : Evaluating the shape enhancement capabilities of the Local Light Alignment technique at multiple scales

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

    Författare :Edvard Ahlsén; [2023]
    Nyckelord :Shape depiction; Non-photorealistic rendering; Shading; Multiple scales; Formskildring; ickerealistisk rendering; skuggning; skalrymdsmetoder;

    Sammanfattning : Local Light Alignment is a new shading based technique in the field of shape depiction, a field which concerns itself with techniques to represent and enhance the three-dimensional (3D) shape of objects in two-dimensional (2D) visual media. The main idea of Local Light Alignment is to locally adjust the incoming direction of light to create contrast in a way that enhances the perception of shape and surface detail. LÄS MER