Sökning: "Blender"
Visar resultat 16 - 20 av 73 uppsatser innehållade ordet Blender.
16. Research and Application of 6D Pose Estimation for Mobile 3D Cameras
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This work addresses the deep-learning-based 6 Degree-of-Freedom (DoF) pose estimation utilizing 3D cameras on an iPhone 13 Pro. The task of pose estimation is to estimate the spatial rotation and translation of an object given its 2D or 3D images. LÄS MER
17. Multi-Camera Multi-Person Tracking Using Reinforcement Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The problem of multi-object-tracking in a network of cameras is an interesting and non-trivial problem. Given videos from a number of cameras the goal of Multi-Camera Multi-Object Tracking (MCMOT) is to find the full visible trajectory of each pedestrian from the videos as the pedestrians move across cameras. LÄS MER
18. Characterization of PLA Nanoplastics, and Their Effects on Daphnia magna
Master-uppsats, Lunds universitet/Centrum för analys och syntesSammanfattning : As plastic pollution in aquatic environments keeps happening it has become more and more important to learn more about nanoparticles. Bio-based and biologically degradable plastics, such as polylactic acid (PLA), are gaining popularity and it is therefore important to determine whether they break down into nanoplastics or not. LÄS MER
19. Adapting the PIC/FLIP fluid simulation method to produce a LEGO water animation & evaluating its performance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Fluid simulation in computer graphics is a well-researched field used to simulate water in different ways. Although computer graphics techniques in this area usually aim towards creating realistic representations, they can also deviate to create stylized animations of water that adopt different aesthetics whilst maintaining certain aspects of realism. LÄS MER
20. Automatic Point Cloud Modelling for BIM in AEC Sector
Master-uppsats, KTH/Geodesi och satellitpositioneringSammanfattning : In this research, automatic point cloud modeling strategies have been tested to find the best strategies to model walls, floors and ceilings classes in terms of processing time and accuracy. The modeling was applied on a point cloud data related to the Architecture, Engineering, and Construction field which is a point cloud of a building collected by Sweco company in Sweden. LÄS MER