Sökning: "Low vision"

Visar resultat 21 - 25 av 370 uppsatser innehållade orden Low vision.

  1. 21. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  3. 22. Club Head Tracking : Visualizing the Golf Swing with Machine Learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Fredrik Herbai; [2023]
    Nyckelord :Golf; Machine learning; Neural network; XGBoost; Interpolation; Deep learning; Data collection; Data augmentation;

    Sammanfattning : During the broadcast of a golf tournament, a way to show the audience what a player's swing looks like would be to draw a trace following the movement of the club head. A computer vision model can be trained to identify the position of the club head in an image, but due to the high speed at which professional players swing their clubs coupled with the low frame rate of a typical broadcast camera, the club head is not discernible whatsoever in most frames. LÄS MER

  4. 23. Improving the guidance, navigation and control design of the KNATTE platform

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Lars Lundström; [2023]
    Nyckelord :Multisensor Data Fusion; Nonlinear Kalman Filter; Neural Network;

    Sammanfattning : For complex satellite missions that rely on agile and high-precision manoeuvres, the low-friction aspect of the space environment is a critical component in understanding the attitude control dynamics of the spacecraft. The Kinesthetic Node and Autonomous Table-Top Emulator (KNATTE) is a three-degree-of-freedom frictionless vehicle that serves as the foundation of a multipurpose platform for real-time spacecraft hardware-in-the-loop experiments, and allows emulation of these conditions in two dimensions with the purpose of validating various guidance, navigation, and control algorithms. LÄS MER

  5. 24. När vindarna vänder - En avfolkningskommuns utmaningar och möjligheter vid nya etableringar

    Kandidat-uppsats, Umeå universitet/Institutionen för geografi

    Författare :Amelia Sjödin; [2023]
    Nyckelord :landsbygdskommun; inlandskommun; etableringar; Norrland; lokal och regionalutveckling; planering;

    Sammanfattning : In the north of Sweden a lot of the municipalities struggle with depopulation and a negative developmental spiral. Lately there has been a lot of cases where this can change when new investments and establishments are introduced to the area. LÄS MER

  7. 25. Semi-Supervised Head Detection for Low Resolution Images

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

    Författare :Annie Biby Rapheal; [2023]
    Nyckelord :Object detection; Semi Supervised Learning; Head detection; Objektdetektion; Semisupervised Learning; Huvuddetektion;

    Sammanfattning : Object detection is a widely researched and applied field in computer vision. Deep learning models have successfully been used for object detection over the years. The performance of State of the art (SOTA) object detection deep learning models is dependent on the number of labeled images. LÄS MER