The process of creating digital representations of industrial facilities enables future use cases such as virtual training scenarios, convenient change management and immediate remote scene understanding. These use cases require not only to contain semantical information, but also to provide the physical appearance of the facility. When applying automatic 3D scanning techniques, it is beneficial to define the volume that should be scanned manually first to avoid unnecessary preprocessing. The, potentially hazardous, environment with multifaceted structures in an industrial plant offer various challenges to such an attempt. Moreover, to become a widely accepted, the volume segmentation method requires to be understandable for facility workers with limited knowledge about 3d interaction. For the industrial use cases, no commonly implemented method meets all requirements. Therefore, we present an approach, which segments the intended volume by intersecting the projection of hand-drawn SURROUNDINGS on a small number of pictures of the target object using augmented reality. Our implementation can successfully approximate various sizes of target volumes and delivers an appropriately detailed result. The pen-based input assures the usability for workers with gloves. The surrounding based metaphor allows the user to perform clear and simple tasks, while our algorithm takes the data, calculates the volume, and augments it into the scene. This augmentation gives visual feedback and shows flaws in prior annotations, which can then be resolved on the spot. With MIXED-METHOD EVALUATION, we assured that the application fulfills all requirements derived from the scenario. This simple use-case focused interaction metaphor can act as a reoccurring pattern for various digital twin based scenarios presented in this paper and is therefore a valuable alternative to commonly used 3d-primitive based segmentation methods.     «

The process of creating digital representations of industrial facilities enables future use cases such as virtual training scenarios, convenient change management and immediate remote scene understanding. These use cases require not only to contain semantical information, but also to provide the physical appearance of the facility. When applying automatic 3D scanning techniques, it is beneficial to define the volume that should be scanned manually first to avoid unnecessary preprocessing. The, p...     »