3D tunnel model reconstruction from monocular image

Min Sun; Dan Zhang; Zheng Hu

doi:10.1117/12.833131

30 October 2009 3D tunnel model reconstruction from monocular image

Min Sun, Dan Zhang, Zheng Hu

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74961A (2009) https://doi.org/10.1117/12.833131
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

For the special shape of the tunnel and the limitation to the image sequences capturing inside the tunnel, conventional stereo algorithms are difficult to apply for 3D reconstruction of the tunnel. This paper presents an automatic reconstruction method for 3D tunnel reconstruction from the monocular image. The proposed method assumes one 3D wireframe model of the tunnel can be easily obtained by a few known data. Any lines on this model can be expressed with Plucker matrix, by using detected lines on the image, the line projection matrix can be obtained. Then the whole 3D wireframe model can be mapped onto the image, so that a texture can be extracted for the 3D wireframe model, then one textured 3D tunnel model is obtained. The experimental results show that our method can be easily and effective performed in the practice.

Citation Download Citation

Min Sun, Dan Zhang, and Zheng Hu "3D tunnel model reconstruction from monocular image", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961A (30 October 2009); https://doi.org/10.1117/12.833131

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