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