Sökning: "3D Descriptors"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden 3D Descriptors.

  1. 1. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

    Författare :Fehmi Ayberk Uçkun; [2023]
    Nyckelord :3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

    Sammanfattning : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. LÄS MER

  3. 2. Learning the shapes of protein pockets

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

    Författare :Alejandro Corrochano; Yossra Gharbi; [2022-10-14]
    Nyckelord :Protein; cavity; ligand-binding; 3D-equivariance; shape; latent space; e3nn; Fpocket; sc-PDB;

    Sammanfattning : The comparison of protein pockets plays an important role in drug discovery. Through the identification of binding sites with similar structures, we can assist in finding hits and characterizing the function of proteins. Traditionally, the geometry of cavities has been described with scalar features, which are not fully representative of the shape. LÄS MER

  4. 3. Minimal Deformation Methods for Loop Closure

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Erik Tegler; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis proposes a method for how to find duplicated 3D points in a single Structure from Motion point cloud. Together with related articles, this forms a possible solution to the loop closure problem. The proposed method works by first selecting candidate pairs of 3D points by comparing BRIEF descriptors of all points. LÄS MER

  5. 4. Evaluation of Monocular Visual SLAM Methods on UAV Imagery to Reconstruct 3D Terrain

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Fredrik Johansson; Samuel Svensson; [2021]
    Nyckelord :Computer vision; Simultaneous Localization and Mapping; SLAM; Visual SLAM; V-SLAM; Monocular; UAV; Drone mapping; D reconstruction of terrain; Point cloud;

    Sammanfattning : When reconstructing the Earth in 3D, the imagery can come from various mediums, including satellites, planes, and drones. One significant benefit of utilizing drones in combination with a Visual Simultaneous Localization and Mapping (V-SLAM) system is that specific areas of the world can be accurately mapped in real-time at a low cost. LÄS MER

  7. 5. Global localization of nano drone in an indoor environment

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sofie Olsson; [2020]
    Nyckelord :Global localization; Crazyflie; indoor navigation; SLAM; point cloud map; monocular camera; drone; computer vision; Technology and Engineering;

    Sammanfattning : For a drone to be able to navigate in an indoor environment, it needs to understand its surroundings and locate itself to be able to plan a trajectory to its final destination. This thesis aims to solve the global localization problem, i.e. LÄS MER