Three Dimensional Reconstruction of Structured Scenes Based on Vanishing Points

  • Guanghui Wang
  • Shewei Wang
  • Xiang Gao
  • Yubing Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4261)


The paper is focused on the problem of 3D reconstruction of structured scenes from uncalibrated images based on vanishing points. Under the assumption of three-parameter-camera model, we prove that with a certain preselected world coordinate system, the camera projection matrix can be uniquely determined from three mutually orthogonal vanishing points that can be obtained from images. We also prove that global consistent projection matrices can be recovered if an additional set of correspondences across multiple images is present. Compared with previous stereovision techniques, the proposed method avoids the bottleneck problem of image matching and is easy to implement, thus more accurate and robust results are expected. Extensive experiments on synthetic and real images validate the effectiveness of the proposed method.


Projection Matrix Camera Calibration Projection Matrice World Coordinate System Structure Scene 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Guanghui Wang
    • 1
    • 2
  • Shewei Wang
    • 1
  • Xiang Gao
    • 1
  • Yubing Li
    • 1
  1. 1.Department of Control EngineeringAviation University of AirforceChangchunP.R. China
  2. 2.National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingP.R. China

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