11 October 2016 Seamless texture mapping algorithm for image-based three-dimensional reconstruction
Jiapeng Liu, Bin Liu, Tao Fang, Hong Huo, Yuming Zhao
Author Affiliations +
Abstract
Texture information plays an important role in rendering true objects, especially with the wide application of image-based three-dimensional (3-D) reconstruction and 3-D laser scanning. This paper proposes a seamless texture mapping algorithm to achieve a high-quality visual effect for 3-D reconstruction. At first, a series of image sets is produced by analyzing the visibility of triangular facets, the image sets are clustered and segmented into a number of optimal reference texture patches. Second, the generated texture patches are sequenced to create a rough texture map, then a weighting process is adopted to reduce the color discrepancies between adjacent patches. Finally, a multiresolution decomposition and fusion technique is used to generate the transition section and eliminate the boundary effect. Experiments show that the proposed algorithm is effective and practical for obtaining high-quality 3-D texture mapping for 3-D reconstruction. Compared with traditional methods, it maintains the texture clarity while eliminating the color seams, in addition, it also supports 3-D texture mapping for big data application.
© 2016 SPIE and IS&T 1017-9909/2016/$25.00 © 2016 SPIE and IS&T
Jiapeng Liu, Bin Liu, Tao Fang, Hong Huo, and Yuming Zhao "Seamless texture mapping algorithm for image-based three-dimensional reconstruction," Journal of Electronic Imaging 25(5), 053025 (11 October 2016). https://doi.org/10.1117/1.JEI.25.5.053025
Published: 11 October 2016
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CITATIONS
Cited by 2 scholarly publications and 1 patent.
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KEYWORDS
Volume rendering

Reconstruction algorithms

3D image processing

3D image reconstruction

Image fusion

3D modeling

Visibility

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