Keywords. Mobile Mixed Reality, 3D Reconstruction, Object Recognition, Computer Vision, Tracking, Point Clouds
Abstract. In this paper, a system for detection and visualization of geometric differences between 3D planning data and spatial measurement is presented. Usually construction processes are forward processes without feedback loops, e.g. construction of buildings or 3D printing. In our approach an automatic feedback step adds differences to the original planning data after the construction phase to get well-documented products. Even if the planning data as well as the 3D reconstruction of the final product are 3D data, this is a challenging task due to different structures of the 3D data (e.g., precisely defined corners and exact dimension vs. rough geometric approximation) and different levels of abstraction (hierarchy of construction elements like doors, walls or gears vs. unstructured point clouds). As a first step towards this goal, we visualize these differences between the original planning data and the 3D reconstruction based on the obtained point cloud data.
- Display Featured Image
- Link to Presentation Slideset
- Link to Presentation and Demo Videos (if any)
- Link to Representative 3D (if any)
- Link to other assets (if any)