Augmented Reality 3D Discrepancy Check in Industrial Applications
Discrepancy check is a well known task in industrial Augmented Reality (AR) In this paper we present a new approach consisting of three main contributions: First, we propose a new two step depth mapping algorithm for RGB D cameras, which fuses depth images with given camera pose in real time into a consistent 3D model. In a rigorous evaluation with two public benchmarks we show that our mapping outperforms the state of the art in accuracy. Second, we propose a semi automatic alignment algorithm, which rapidly aligns a reference model to the reconstruction. Third, we propose an algorithm for 3D discrepancy check based on pre computed distances. In a systematic evaluation we show the superior performance of our approach compared to state of the art 3D discrepancy checks.
2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)