Sökning: "3D training"

Visar resultat 1 - 5 av 169 uppsatser innehållade orden 3D training.

  1. 1. Automating the identification of components in 3D models

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Oliver Olofsson; [2024]
    Nyckelord :Part segmentation; Blender; 3D mesh; MeshCNN; PointNet ; DGCNN;

    Sammanfattning : Online house building tools are robust instruments that have transformed the approach to home planning and design. The significance of 3D models on online house building and design platforms lies in their ability to elevate the user experience, enhance design precision, and foster collaboration. LÄS MER

  3. 2. 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

  4. 3. Product development of hand-held scooping utensil for the pharmaceutical industry

    Master-uppsats, KTH/Ergonomi

    Författare :Josefin Kruse; [2024]
    Nyckelord :;

    Sammanfattning : Musculoskeletal disorders (MSDs) are one of the most common groups of work-related illnesses. At PET Dispensing, AstraZeneca Södertälje, several MSDs had been linked to a specific scooping utensil made of stainless steel. LÄS MER

  5. 4. Anatomical segmentation of the human brain: comparative assessment of two automatic methods

    Master-uppsats,

    Författare :Carl von Dorrien; [2023-08-22]
    Nyckelord :Medical physics; MAPER; FreeSurfer; FastSurfer; Automatic brain segmentation; MRI; Deep Neural Network; Brain;

    Sammanfattning : Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the brain because of its excellent soft tissue contrast. LÄS MER

  7. 5. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

    Författare :Marie-Ange Stefanos; [2023]
    Nyckelord :Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Sammanfattning : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. LÄS MER