Sökning: "partial vision"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden partial vision.

  1. 1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

    Författare :Javier Ferre Martin; [2023]
    Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

  3. 2. Behandlingsalternativ vid visuell snö - en litteraturstudie

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för medicin och optometri (MEO)

    Författare :Anton Shorter; Clara Sakari; [2023]
    Nyckelord :Visual snow; Visual Snow Syndrome; neuro-optometric rehabilitation therapy; repetitive transcranial magnetic stimulation; chromatic filters; Visuell snö; Visual Snow Syndrome; neurooptometrisk synträning; repetitiv transkraniell magnetstimulering; filterglasögon;

    Sammanfattning : Bakgrund: Visuell snö är ett perceptionsstörande neurooftalmologiskt tillstånd karakteriserat av bestående mikroskopiska flimrande prickar som täcker hela det bilaterala synfältet. Det kan liknas vid att titta genom en flimrande tv-skärm, eller Gaussiskt brus. Några etablerade riktlinjer för behandling finns inte för närvarande. LÄS MER

  4. 3. Design of an Industrial Bin Picking Station

    Master-uppsats, Lunds universitet/Innovation

    Författare :Jonathan Ramb; [2023]
    Nyckelord :bin picking; computer vision; automation; robotics; 3D Scanning; Technology and Engineering;

    Sammanfattning : With the ever-increasing demand for automation, new ways to optimize production lines are needed. The aim of this thesis is to complete an industrial automation task by employing a concept in robotics known as bin picking. The concept involves organizing objects by picking them out of a cluttered bin using an industrial robot. LÄS MER

  5. 4. Real-time Unsupervised Domain Adaptation

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

    Författare :Marc Botet Colomer; [2023]
    Nyckelord :Unsupervised Domain Adaptation; Real-Time applications; Online Learning; Self-Learning; Semantic Segmentation; Reinforcement Learning; Oövervakad domänanpassning; Realtidsapplikationer; Onlineinlärning; Självinlärning; Semantisk Segmentering; Förstärkningsinlärning;

    Sammanfattning : Machine learning systems have been demonstrated to be highly effective in various fields, such as in vision tasks for autonomous driving. However, the deployment of these systems poses a significant challenge in terms of ensuring their reliability and safety in diverse and dynamic environments. LÄS MER

  7. 5. Humans in the wild : NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans

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

    Författare :Sanvito Alessandro; [2023]
    Nyckelord :Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision; Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision;

    Sammanfattning : Recent advancements in computer vision have led to the emergence of Neural Radiance Fields (NeRFs), a powerful tool for reconstructing photorealistic 3D scenes, even in dynamic settings. However, these methods struggle when dealing with human subjects, especially when the subject is partially obscured or not completely observable, resulting in inaccurate reconstructions of geometries and textures. LÄS MER