Augmented Reality 3D Discrepancy Check in Industrial Applications

Augmented Reality 3D Discrepancy Check in Industrial Applications
Oliver Wasenmüller, Marcel Meyer, Didier Stricker
Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2016), September 19-23, Merida, Mexico

Abstract:

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.

Keywords:

Augmented Reality, Discrepancy Check, Depth Camera, ToF, Alignment