Building-based structural data for core functions of outdoor scene analysis

Authors:
Hoang-Hon Trinh;Dae-Nyeon Kim;Suk-Ju Kang;Kang-Hyun Jo
Affiliations:
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea;Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea;Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea;Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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Abstract

The most important things to realize such an intelligent system are core functions such as landmark detection, recognition and reconstruction. Since where we have core functions, the intelligent system can propagate other procedures like navigation, mapping, localization, etc. Thus, this paper describes an approach to construct a structural data for core functions by using geometrical structure of building. Firstly, line segments are detected. Then several processes such as rejecting noises, calculating dominant vanishing points, filtering the edges of building are used to detect the building surfaces. The criteria are created for decision of building detection function. Secondly, for each surface, a generative model including area, wall histogram and a list of local features are computed for the recognition function. Finally, the geometrical features as windows, doors, floors or rooms are estimated for reconstructing the building. The proposed method has been performed with large databases and sound results of all functions.