Essays about: "Model 3D"

Showing result 6 - 10 of 1020 essays containing the words Model 3D.

  1. 6. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    University essay from Linköpings universitet/Datorseende

    Author : Erica Ingerstad; Liv Kåreborn; [2024]
    Keywords : NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Abstract : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. READ MORE

  3. 7. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

    Author : Marie-Ange Stefanos; [2023]
    Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

  4. 8. Uncertainty Estimation in Radiation Dose Prediction U-Net

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

    Author : Frida Skarf; [2023]
    Keywords : Radiation dose prediction models; U-net; quantile regression; Monte Carlo Dropout; epistemic uncertainty estimation; aleatoric uncertainty estimation; Stråldospredicerande modeller; U-net; kvantilregression; Monte Carlo Dropout; epistemisk osäkerhetsskattning; aletorisk osäkerhetsskattning;

    Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE

  5. 9. Numerical Study on Acoustic Phenomena in Cavities for Aero-engine Applications

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Eglantin Gjoni; [2023]
    Keywords : ;

    Abstract : For about seventy years, noise generated by grazing flow past a cavity has been thoroughly studied. Yet, a coherent theory that describes such phenomena is missing. Lately, this phenomena started to be investigated in bleeding systems of aero-engines. READ MORE

  6. 10. 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