Sökning: "Image based lighting"
Visar resultat 6 - 10 av 57 uppsatser innehållade orden Image based lighting.
6. The influence of neural network-based image enhancements on object detection
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : This thesis investigates the impact of image enhancement techniques on object detection for carsin real-world traffic scenarios. The study focuses on upscaling and light correction treatments andtheir effects on detecting cars in challenging conditions. Initially, a YOLOv8x model is trained on clear static car images. LÄS MER
7. Deep Learning Based Out-of-focus Detection on Surveillance Footage
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. LÄS MER
8. Evaluation of Performance and Image Quality for Voxel Cone Tracing
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Voxel cone tracing (VCT) is a rendering method designed to approximate global illumination in a fast and efficient way. Global illumination means to render not only the direct lighting of a scene but also light from indirect sources, simulating how light in the real-world tend to bounce around and illuminate even the areas that are occluded from a direct light source. LÄS MER
9. Facial recognition techniques comparison for in-field applications : Database setup and environmental influence of the access control
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktionSammanfattning : A currently ongoing project at Stanley Security is to develop a facial recognition system as access control system to prevent theft of heavy vehicles for terrorist purposes. As of today, there are several providers of facial recognition techniques and the spectrum ranges from multi dollar licenses to easy access open source. LÄS MER
10. Automatic Recognition of Water-Levels with Machine Learning
M1-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The measurement of water-levels is critical within hydropower production and with already existing camera surveillance in abundance for the purpose of manual supervision. The allure of automatic visual reading to replace the need for manual oversight is significant in the pursuit of fully data driven solutions within hydropower systems. LÄS MER