COMBINING HOLOLENS WITH INSTANT-NERFS: ADVANCED REAL-TIME 3D MOBILE MAPPING

COMBINING HOLOLENS WITH INSTANT-NERFS: ADVANCED REAL-TIME 3D MOBILE MAPPING

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This work represents a large step into modern ways of fast 3D reconstruction based on RGB camera images.Utilizing a Microsoft HoloLens 2 as a multisensor platform that includes an RGB camera and an inertial measurement unit for SLAM-based camera-pose determination, we train a Neural Radiance Field (NeRF) as a neural scene representation in real-time with the acquired data from the HoloLens.The HoloLens is connected via Wifi to a high-performance PC that is responsible for the AEG SCB6181XLS built in Low Frost Integrated Fridge Freezer A+ training and 3D reconstruction.After the data stream ends, the training is stopped and the 3D reconstruction is initiated, which extracts a point cloud of the scene.

With our specialized inference algorithm, five million scene points can be extracted within 1 second.In addition, the point cloud Intestinal Formulas also includes radiometry per point.Our method of 3D reconstruction outperforms grid point sampling with NeRFs by multiple orders of magnitude and can be regarded as a complete real-time 3D reconstruction method in a mobile mapping setup.