Sökning: "Motion blur"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden Motion blur.
1. Volumetric Rendering of the Inner Coma of a Theoretically Modelled Comet for Comet Interceptor Mission
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : The Comet Interceptor is a joint mission by European Space Agency (ESA) and Japan Aerospace Exploration Agency (JAXA) which seeks to perform a flyby over a Long Period Comet using a multi-element spacecraft. The Comet Interceptor comprises three spacecrafts- A, B1 and B2. LÄS MER
2. Motion Blur in Monitors
Kandidat-uppsats, Uppsala universitet/Institutionen för elektroteknikSammanfattning : The purpose of this essay is to analyze different monitor types and whymotion blur appears with moving pictures. The CRT monitors who no longerare produced due to their old age and ancient technology have a little to nomotion blur at all while modern monitors like the LCD monitor usually havea lot. LÄS MER
3. Robustness of State-of-the-Art Visual Odometry and SLAM Systems
Master-uppsats, KTH/Tillämpad fysikSammanfattning : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. LÄS MER
4. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER
5. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER