Nonuniform multiview color texture mapping of image sequence and three-dimensional model for faded cultural relics with sift feature points

Na Li; Xingyu Gong; Hong-an Li; Pengtao Jia

doi:10.1117/1.JEI.27.1.011012

23 February 2018 Nonuniform multiview color texture mapping of image sequence and three-dimensional model for faded cultural relics with sift feature points

Na Li, Xingyu Gong, Hong-an Li, Pengtao Jia

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 1, 011012 (February 2018). https://doi.org/10.1117/1.JEI.27.1.011012

Abstract

For faded relics, such as Terracotta Army, the 2D–3D registration between an optical camera and point cloud model is an important part for color texture reconstruction and further applications. This paper proposes a nonuniform multiview color texture mapping for the image sequence and the three-dimensional (3D) model of point cloud collected by Handyscan3D. We first introduce nonuniform multiview calibration, including the explanation of its algorithm principle and the analysis of its advantages. We then establish transformation equations based on sift feature points for the multiview image sequence. At the same time, the selection of nonuniform multiview sift feature points is introduced in detail. Finally, the solving process of the collinear equations based on multiview perspective projection is given with three steps and the flowchart. In the experiment, this method is applied to the color reconstruction of the kneeling figurine, Tangsancai lady, and general figurine. These results demonstrate that the proposed method provides an effective support for the color reconstruction of the faded cultural relics and be able to improve the accuracy of 2D–3D registration between the image sequence and the point cloud model.

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Na Li, Xingyu Gong, Hong-an Li, and Pengtao Jia "Nonuniform multiview color texture mapping of image sequence and three-dimensional model for faded cultural relics with sift feature points," Journal of Electronic Imaging 27(1), 011012 (23 February 2018). https://doi.org/10.1117/1.JEI.27.1.011012

Received: 13 July 2017; Accepted: 6 February 2018; Published: 23 February 2018

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