• ISSN 0258-2724
  • CN 51-1277/U
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Volume 22 Issue 5
Mar.  2010
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Article Contents
JIANG Yongquan, PENG Qiang, CHEN Jinxiong. Reconstruction of Implicit Surfaces from Uncalibrated Camera Image Sequences[J]. Journal of Southwest Jiaotong University, 2009, 22(5): 677-681,687.
Citation: JIANG Yongquan, PENG Qiang, CHEN Jinxiong. Reconstruction of Implicit Surfaces from Uncalibrated Camera Image Sequences[J]. Journal of Southwest Jiaotong University, 2009, 22(5): 677-681,687.

Reconstruction of Implicit Surfaces from Uncalibrated Camera Image Sequences

  • Received Date: 20 Mar 2008
  • Publish Date: 12 Nov 2009
  • To improve the quality of 3D geometric models reconstructed from uncalibrated image sequences,a feature tracking algorithm was proposed to match more points among a sequence of images.In the algorithm,a dense grid in the first frame is drawn,and easily tracked feature points near the grid points are determined.The sub-pixel coordinates of the feature points are found by iteration.The optical flow for this sparse feature set is calculated using iterative Lucas-Kanade method in pyramids.An even and dense 3D point-cloud is reconstructed with a self-calibration algorithm.Finally,an RBF (radial basis function) implicit surface reconstruction was applied to generate the surface model of the object.By experimenting with a number of image sequences,the reconstruction results show that the algorithm can obtain satisfactory surfaces for images with rich texture.

     

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