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Building Face Reconstruction from Sparse View of Monocular Camera

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6839))

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Abstract

This paper proposes a method for building detection and 3D reconstruction of building face from sparse view of monocular camera. According to this method, building faces are detected by using color, straight line, edge and vanishing point. In the next step, building faces from multi view are extracted. Point clouds of building face are obtained from triangulation step. The building faces are reconstructed by plane fitting afterward. The simulation results will demonstrate the effectiveness of this method.

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Author information

Authors and Affiliations

  1. Graduated School of Electrical Engineering, University of Ulsan, Ulsan, Korea

    My-Ha Le & Kang-Hyun Jo

Authors
  1. My-Ha Le
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  2. Kang-Hyun Jo
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    M. Michael Gromiha

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Le, MH., Jo, KH. (2012). Building Face Reconstruction from Sparse View of Monocular Camera. In: Huang, DS., Gan, Y., Gupta, P., Gromiha, M.M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2011. Lecture Notes in Computer Science(), vol 6839. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25944-9_73

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  • DOI: https://doi.org/10.1007/978-3-642-25944-9_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25943-2

  • Online ISBN: 978-3-642-25944-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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