Smart 3D Geometry Understanding within a Dynamic Large Triangulated Point Cloud
Master Thesis
About This Topic
The aim of this master thesis is to enable automatic object detection, starting from planar surfaces to more complex objects, within a streamed dense point cloud that is triangulated for live immersive scene exploration using virtual reality gear. To detect obstacles within the dense 3D reconstruction, computer vision / deep learning algorithms need to be applied to understand the scene geometry for subsequent highlighting and collider computation.
Hardware: HTC Vive, Cyberith Virtualizer Development Environment: Unreal Engine, Steam VR (Vive), Computer Vision / Machine Learning libraries
More information of the project: https://www.ims.tuwien.ac.at/projects/immersivepointclouds