Sökning: "3D pose estimation"

Visar resultat 1 - 5 av 43 uppsatser innehållade orden 3D 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. 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. 3. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods

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

   Författare :Diogo Antunes; [2023]
   Nyckelord :Robust state estimation; Underwater localization; Target tracking; Gaussian mixture; AUV; Estimação robusta de estado; Localização subaquática; Rastreamento de alvos; Mistura Gaussiana; AUV; Robust tillståndsuppskattning; Undervattenslokalisering; Målspårning; Gaussisk blandning; AUV;

   Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER

5. 4. 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

7. 5. 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