3D Reconstruction Based on Hexagonal Pixel’s Dense Stereo Matching

Abstract:

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A new feature points extraction method is presented, which consider pixel as hexagonal. The method quasi increases the density of image pixel, expands the dynamic range of feature point extraction, increases the number of the features and resolves the problem of deformation of reconstruction which was leaded by lack of feature points. Firstly, the method was successful applied to sift operator of features extraction in this paper and then use dense stereo matching method to find the matching point of the image sequences. Secondly, through the RANSAC method to eliminate mistake matches, and by the camera matrix, calculate the corresponding points’ three-dimensional coordinates of space. Finally, the 3D model can be established through the partition merging triangulation method and texture mapping. Experimental results show that this method can get more accurate matches pairs and achieve a satisfactory effect of 3D reconstruction.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

487-492

DOI:

10.4028/www.scientific.net/AMM.20-23.487

Citation:

Z. T. Jiang et al., "3D Reconstruction Based on Hexagonal Pixel’s Dense Stereo Matching ", Applied Mechanics and Materials, Vols. 20-23, pp. 487-492, 2010

Online since:

January 2010

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Price:

$35.00

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