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Proceedings Paper

3D surface reconstruction based on image stitching from gastric endoscopic video sequence
Author(s): Mengyao Duan; Rong Xu; Jun Ohya
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Paper Abstract

This paper proposes a method for reconstructing 3D detailed structures of internal organs such as gastric wall from endoscopic video sequences. The proposed method consists of the four major steps: Feature-point-based 3D reconstruction, 3D point cloud stitching, dense point cloud creation and Poisson surface reconstruction. Before the first step, we partition one video sequence into groups, where each group consists of two successive frames (image pairs), and each pair in each group contains one overlapping part, which is used as a stitching region. Fist, the 3D point cloud of each group is reconstructed by utilizing structure from motion (SFM). Secondly, a scheme based on SIFT features registers and stitches the obtained 3D point clouds, by estimating the transformation matrix of the overlapping part between different groups with high accuracy and efficiency. Thirdly, we select the most robust SIFT feature points as the seed points, and then obtain the dense point cloud from sparse point cloud via a depth testing method presented by Furukawa. Finally, by utilizing Poisson surface reconstruction, polygonal patches for the internal organs are obtained. Experimental results demonstrate that the proposed method achieves a high accuracy and efficiency for 3D reconstruction of gastric surface from an endoscopic video sequence.

Paper Details

Date Published: 26 September 2013
PDF: 12 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88561I (26 September 2013); doi: 10.1117/12.2022531
Show Author Affiliations
Mengyao Duan, Graduate School of Global Information and Telecommunication Studies, Waseda Univ. (Japan)
Rong Xu, Waseda Univ. (Japan)
Jun Ohya, Graduate School of Global Information and Telecommunication Studies, Waseda Univ. (Japan)


Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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