Sökning: "feature matching"

Visar resultat 21 - 25 av 79 uppsatser innehållade orden feature matching.

  1. 21. Optimization of Insert-Tray Matching using Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Karolina Hedberg; [2021]
    Nyckelord :Machine learning; Supervised learning; Feature selection;

    Sammanfattning : The manufacturing process of carbide inserts at Sandvik Coromant consists of several operations. During some of these, the inserts are positioned on trays. For some inserts the trays are pre-defined but for others the insert-tray matching is partly improvised. LÄS MER

  3. 22. Data association for object-based SLAM

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

    Författare :Kamil Kaminski; [2021]
    Nyckelord :;

    Sammanfattning : The thesis tackles the problem of data association for monocular object-based SLAM, which gets often omitted in related works. A method for estimatingellipsoid object landmark representations is implemented. LÄS MER

  4. 23. Robust Descriptor Learning Using Variational Auto-Encoders

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

    Författare :Leonidas Valavanis; [2020]
    Nyckelord :;

    Sammanfattning : Image matching is the task of finding points in one image corresponding to the same points in the other image. Classical feature descriptors fail to match points when the images are under extreme viewpoint or seasonal changes. This thesis tackles the problem of image matching when two images are under severe changes. LÄS MER

  5. 24. Data association for object-based SLAM

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

    Författare :Kamil Kaminski; [2020]
    Nyckelord :;

    Sammanfattning : The thesis tackles the problem of data association for monocular object-basedSLAM, which gets often omitted in related works. A method for estimating ellipsoid object landmark representations is implemented. LÄS MER

  7. 25. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees

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

    Författare :Sonia-Florina Horchidan; [2020]
    Nyckelord :Federated Learning; Time Series Forecasting; Clustering; Pattern Matching; Real-time Data Processing; Differential Privacy; Data Privacy.; Federerade Lärande; Tidsseriesprognos; Klustergruppering; Mönstermatchning; Realtidshantering av data; Differentialintegritet; Dataintegritet;

    Sammanfattning : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. LÄS MER