Data for: Interior construction state recognition with 4D BIM registered image sequences

Published: 09-11-2017| Version 2 | DOI: 10.17632/rskgn5f8y8.2
Contributors:
Christian Koch,
Markus König,
Christopher Kropp

Description

For the evaluation of the "Interior construction state recognition with 4D BIM registered image sequences" framework, three exemplary videos were selected that document the radiator and drywall activity states. All the videos were recorded at the renovation of the IC building on the campus of the Ruhr-Universität Bochum, Germany, with the monocular rear camera of a tablet PC. The first video part shows the non-present radiator and installed drywall panels, the second video part shows the non-installed radiator and the plastered drywall state, and the third video part contains the appearance of the radiator and the painted drywall state. The goal of this experiment was to test the ability of the final statement about the activity state under the influence of all previous steps starting from the initial registration, over fine and rough pose estimation towards the activity state recognition.

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