TY - JOUR

T1 - Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance

AU - Rumpler, Markus

AU - Tscharf, Alexander

AU - Mostegel, Christian

AU - Daftry, Shreyansh

AU - Hoppe, Christof

AU - Prettenthaler, Rudolf

AU - Fraundorfer, Friedrich

AU - Mayer, Gerhard

AU - Bischof, Horst

PY - 2016

Y1 - 2016

N2 - Abstract During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Recent developments in image-based 3D reconstruction systems have resulted in an easy way of creating realistic, visually appealing and accurate 3D models. We present a fully automated processing pipeline for metric and geo-accurate 3D reconstructions of complex geometries supported by an online feedback method for user guidance during image acquisition. Our approach is suited for seamlessly matching and integrating images with different scales, from different view points (aerial and terrestrial), and with different cameras into one single reconstruction. We evaluate our approach based on different datasets for applications in mining, archaeology and urban environments and thus demonstrate the flexibility and high accuracy of our approach. Our evaluation includes accuracy related analyses investigating camera self-calibration, georegistration and camera network configuration.

AB - Abstract During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Recent developments in image-based 3D reconstruction systems have resulted in an easy way of creating realistic, visually appealing and accurate 3D models. We present a fully automated processing pipeline for metric and geo-accurate 3D reconstructions of complex geometries supported by an online feedback method for user guidance during image acquisition. Our approach is suited for seamlessly matching and integrating images with different scales, from different view points (aerial and terrestrial), and with different cameras into one single reconstruction. We evaluate our approach based on different datasets for applications in mining, archaeology and urban environments and thus demonstrate the flexibility and high accuracy of our approach. Our evaluation includes accuracy related analyses investigating camera self-calibration, georegistration and camera network configuration.

KW - Photogrammetric computer vision

KW - Unmanned aerial vehicles

KW - Image-based 3D reconstruction

KW - Mapping

KW - Camera calibration

KW - Image acquisition

KW - Online feedback

KW - Structure-from-motion

KW - Georeferencing

KW - Fiducial markers

KW - Accuracy evaluation

U2 - 10.1016/j.cviu.2016.04.008

DO - 10.1016/j.cviu.2016.04.008

M3 - Artikel

JO - Computer Vision and Image Understanding

JF - Computer Vision and Image Understanding

SN - 1077-3142

ER -