Sökning: "segmentation process"
Visar resultat 21 - 25 av 241 uppsatser innehållade orden segmentation process.
21. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. LÄS MER
22. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. LÄS MER
23. SENSOR FUSION FOR AUTONOMOUS NAVIGATION
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : This report describes the progress made in designing and constructing an unmanned surface vehicle. The focus is on the development of the vessel's perception system, which includes three LiDAR sensors and a camera. LÄS MER
24. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications
Master-uppsats, KTH/FysikSammanfattning : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. LÄS MER
25. Diffusion models for anomaly detection in digital pathology
Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Challenges within the field of pathology leads to a high workload for pathologists. Machine learning has the ability to assist pathologists in their daily work and has shown good performance in a research setting. LÄS MER