Essays about: "computer vision"

Showing result 26 - 30 of 813 essays containing the words computer vision.

  1. 26. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sandra Tor; [2023]
    Keywords : Machine Learning; Autoencoders; Masked autoencoders; Time series; Trajectory modeling; Time series modeling; Anomaly detection; Anomaly correction; Football; Maskininlärning; Autoencoders; Maskerade autoencoders; Tidsserie; Banmodellering; Tidsseriemodellering; Avvikelsedetektering; Avvikelsekorrigering; Fotboll;

    Abstract : Football trajectory modeling is a powerful tool for predicting and evaluating the movement of a football and its dynamics. Masked autoencoders are scalable self-supervised learners used for representation learning of partially observable data. READ MORE

  3. 27. Augmented Reality for Immersive Video Conference Presentations : Enhancing Video Presentation Experiences with Visual Aid Through Augmented Reality

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gabriel Rosenberg; [2023]
    Keywords : Extended Reality; Augmented Reality; Video Conferencing; Computer Vision; Natural Interaction; Natural User Interfaces; Förstärkt verklighet; videokonferenser; datorseende; naturlig interaktion; naturliga gränssnitt;

    Abstract : As 3D models are increasingly used in a variety of contexts, both for entertainment in games and movies, as well as professional visualization and CAD models, there is an increased demand for collaborative tools which can be used to show these virtual artifacts efficiently. Interaction with digital 3D artifacts has long since been enabled through the use of specialized software, like CAD modeling applications and 3D rendering software; which often are extensive and require time to master and use efficiently. READ MORE

  4. 28. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    University essay from KTH/Matematisk statistik

    Author : Sabina Syed; Josefin Stenberg; [2023]
    Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE

  5. 29. A Rule-based approach for detection of spatial object relations in images

    University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)

    Author : Wahaj Afzal; [2023]
    Keywords : Spatial relations; Deep learning; Computer vision; Artificial intelligence.;

    Abstract : Deep learning and Computer vision are becoming a part of everyday objects and machines. Involvement of artificial intelligence in human’s daily life open doors to new opportunities and research. READ MORE

  6. 30. Automatic quality assessment of formed fiber products via Computer Vision and Artificial Intelligence

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jesper Sköld; [2023]
    Keywords : Artificial intelligence; Deep learning; CNN; YOLO; Computer Vision; Fiber products; Machine learning; Neural network;

    Abstract : Defects on fiber products have varied appearances and are common in production lines. A reliable system that can classify and identify defects without subjectivity and fatigue can improve a company's quality management. Computer vision systems are crucial for any autonomous system, but accuracy is essential for real-life applications. READ MORE