Sökning: "Monokulära bilder"

Hittade 4 uppsatser innehållade orden Monokulära bilder.

  1. 1. 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

  3. 2. Monocular Visual Odometry for Autonomous Underwater Navigation : An analysis of learning-based monocular visual odometry approaches in underwater scenarios

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

    Författare :Andrea Caraffa; [2021]
    Nyckelord :Deep Learning; Monocular Visual Odometry; Computer Vision; Autonomous Underwater Navigation; Autonomous Underwater Vehicle; Djupinlärning; Monokulär Visuell Odometri; Datorseende; Autonom Undervattensnavigering; Autonomt Undervattensfordon;

    Sammanfattning : Visual Odometry (VO) is the process of estimating the relative motion of a vehicle by using solely image data gathered from the camera. In underwater environments, VO becomes extremely challenging but valuable since ordinary sensors for on-road localization are usually unpractical in these hostile environments. LÄS MER

  4. 3. 3D Bounding Box Detection from Monocular Images

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

    Författare :Marcel Cata Villa; [2019]
    Nyckelord :;

    Sammanfattning : Object detection is particularly important in robotic applications that require interaction with the environment. Although 2D object detection methods obtain accurate results, these are not enough to provide a complete description of the 3D scenario. Therefore, many models have recently showed promising progress in this challenging field. LÄS MER

  5. 4. Domain-Independent Moving Object Depth Estimation using Monocular Camera

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Cesar Nassir; [2018]
    Nyckelord :Robotics; Deep Learning; Computer Vision; Depth Estimation;

    Sammanfattning : Today automotive companies across the world strive to create vehicles with fully autonomous capabilities. There are many benefits of developing autonomous vehicles, such as reduced traffic congestion, increased safety and reduced pollution, etc. To be able to achieve that goal there are many challenges ahead, one of them is visual perception. LÄS MER