Sökning: "datorseende"

Visar resultat 11 - 15 av 438 uppsatser innehållade ordet datorseende.

1. 11. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

   Författare :Serhat Bulun; [2023]
   Nyckelord :;

   Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

3. 12. 3D-Reconstruction of the Common Murre

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Johannes Hägerlind; [2023]
   Nyckelord :pose estimation; shape estimation; 3D reconstruction; articulated mesh; bird; common murre;

   Sammanfattning : Automatic 3D reconstruction of birds can aid researchers in studying their behavior. Recently there has been an attempt to reconstruct a variety of birds from single-view images. However, the common murre's appearance is different from the birds that have been studied. Moreover, recent studies have focused on side views. LÄS MER

4. 13. Football Trajectory Modeling Using Masked Autoencoders : Using Masked Autoencoder for Anomaly Detection and Correction for Football Trajectories

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

   Författare :Sandra Tor; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

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

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

   Sammanfattning : 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. LÄS MER

7. 15. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

   Master-uppsats, KTH/Matematisk statistik

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

   Sammanfattning : 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. LÄS MER