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Multimedia Tools and Applications

, Volume 77, Issue 24, pp 31875–31893 | Cite as

Single image 3D reconstruction based on control point grid

  • Shujun Zhang
  • Wenxiao Liu
Article
  • 61 Downloads

Abstract

In order to construct 3D meshes from a single image quickly and intuitively, this paper presents a 3D reconstruction method based on control point grid. The key idea is to calculate the 2D control point grid of the target area and elevate each control point according to a parameterized 3D growing rule proposed from prior knowledge. First, the contour of the target object is divided into a major component and side components and the skeleton of each component is extracted. 2D control point grid is calculated combining the curvature and geometric feature of the contour and lifted into 3D space with corresponding height defined by parameter mapping. Finally, a complete 3D model is obtained after component combination and texturing. Experimental results show that this method can reasonably and efficiently recover the 3D shape of the target object while maintaining fine curvature and geometric features.

Keywords

3D reconstruction Control point grid Parameterized growing rule Texture mapping 

Notes

Acknowledgements

This paper is supported by the Key Research & Development Plan Project of Shandong Province of China (No.2017GGX10127), National Natural Science Foundations of China (No.61472196 and No.61672305) and Natural Science Foundation of Shandong Province of China (No.ZR2014FM015).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Information Science and TechnologyQingdao University of Science and TechnologyQingdaoChina

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