Sökning: "3D Human Pose Estimation"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden 3D Human Pose Estimation.

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

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :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;

    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

  3. 2. Monocular 3D Human Pose Estimation

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

    Författare :Robert Rey; [2023]
    Nyckelord :3D Human Pose Estimation; Monocular Images; Deep Learning; Artificial Neural Networks; 3D Människokroppspositionsuppskattning; Monokulära bilder; Djupinlärning; Konstgjorda neurala nätverk;

    Sammanfattning : The focus of this work is the task of 3D human pose estimation, more specifically by making use of key points located in single monocular images in order to estimate the location of human body joints in a 3D space. It was done in association with Tracab, a company based in Stockholm, who specialises in advanced sports tracking and analytics solutions. LÄS MER

  4. 3. Pose Estimation using Implicit Functions and Uncertainty in 3D

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Frida Blomstedt; [2023]
    Nyckelord :pose estimation; neural radiance fields; nerf; computer vision; machine learning;

    Sammanfattning : Human pose estimation in 3D is a large area within computer vision, with many application areas. A common approach is to first estimate the pose in 2D, resulting in a confidence heatmap, and then estimate the 3D pose using the most likely estimations in 2D. LÄS MER

  5. 4. 3D Estimation of Joints for Motion Analysis in Sports Medicine : A study examining the possibility for monocular 3D estimation to be used as motion analysis for applications within sports with the goal to prevent injury and improve sport specific motion

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

    Författare :Axel Persson; [2023]
    Nyckelord :;

    Sammanfattning : 3D joint estimation can be used to track bodies in areas such as entertainment, sports, biomedicine and surveillance to identify bodies from video streams and images. This is most commonly done with multi-view solutions but researchers are currently spending a large amount of resources into developing mono-view solutions. LÄS MER

  7. 5. Dense Foot Pose Estimation From Images

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

    Författare :Sharif Sharif; [2023]
    Nyckelord :Dense Foot Pose Estimation; Computer vision; Deep Learning; Dense Correspondence; Uppskattning Av Tät Fotställning; Datorseende; Djupinlärning; Tät Korrespondens;

    Sammanfattning : There is ongoing research into building dense correspondence between digital images of objects in the world and estimating the 3D pose of these objects. This is a difficult area to conduct research due to the lack of availability of annotated data. Annotating each pixel is too time-consuming. LÄS MER