Advanced search

Showing result 1 - 5 of 72 essays matching the above criteria.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Christopher Nyberg; [2024]
    Keywords : ;

    Abstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE

  2. 2. The State of Live Facial Puppetry in Online Entertainment

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Lisa Gren; Denny Lindberg; [2024]
    Keywords : Facial Puppetry; Face Tracking; Real-time Rendering; Motion Capture; Computer Vision; 3D Modeling; Virtual Avatars; Augmented Reality; Machine Learning; Game Development;

    Abstract : Avatars are used more and more in online communication, in both games and socialmedia. At the same time technology for facial puppetry, where expressions of the user aretransferred to the avatar, has developed rapidly. READ MORE

  3. 3. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : John Moberg; Jonathan Widén; [2023]
    Keywords : Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Abstract : 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. READ MORE

  4. 4. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Author : Kobe Moerman; [2023]
    Keywords : 3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Abstract : 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. READ MORE

  5. 5. Few-Shot Learning for Quality Inspection

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Jesper Palmér; Ahmad Alsalehy; [2023]
    Keywords : Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

    Abstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE