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Incremental Large Scale 3D Reconstruction

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2 Author(s)
Parys, R. ; Univ. of Tuebingen, Germany ; Schilling, A.

In this paper, we describe our incremental large scale 3D reconstruction approach. The input for the algorithm is a set of overlapping sub-models, reconstructed from smaller sets of calibrated images. The output of the algorithm is a set of transformation matrices, that are used to bring sub-models to the common coordinate system. All sub-models transformed by their corresponding matrices form a single large model in a global coordinate system. The interesting property of the proposed approach is the possibility of in- cremental construction of the final composite model. The data collection, camera calibration, and computation 3D of sub-models can be performed independently by many users. Furthermore, adding new sub-models can improve overall reconstruction quality.

Published in:

3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on

Date of Conference:

13-15 Oct. 2012