Building detection and 3D reconstruction from two-view of monocular camera

Authors:
My-Ha Le;Kang-Hyun Jo
Affiliations:
Graduated School of Electrical Engineering, University of Ulsan, Ulsan, Korea;Graduated School of Electrical Engineering, University of Ulsan, Ulsan, Korea
Venue:
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Year:
2011

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Abstract

This paper proposes a method for building detection and 3D reconstruction from two-view by using monocular system. According to this method, building faces are detected by using color, straight line, edge and vanishing point. In the next step, invariant features are extracted and matching to find fundamental matrix. Three-dimension reconstruction of building is implemented based on camera matrixes which are computed from fundamental matrix and camera calibration parameters (essential matrix). The true dimension of building will be obtained if assume the baseline of monocular system is known. The simulation results will demonstrate the effectiveness of this method.