Sökning: "Computer vision"
Visar resultat 11 - 15 av 870 uppsatser innehållade orden Computer vision.
11. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. LÄS MER
12. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER
13. The Winograd Convolution Method
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : The convolution operation is a powerful tool which is widely used in many disciplines.Lately is has seen much use in the area of computer vision, particularly with convolutionalneural networks. For these use cases, convolutions need to be run repeatedly many timeswhich necessitates specialized hardware. LÄS MER
14. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER
15. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. LÄS MER