International Journal of Computer Vision

, Volume 102, Issue 1, pp 18–32

A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth

  • Zheng Lu
  • Yu-Wing Tai
  • Fanbo Deng
  • Moshe Ben-Ezra
  • Michael S. Brown
Article

DOI: 10.1007/s11263-012-0589-5

Cite this article as:
Lu, Z., Tai, Y., Deng, F. et al. Int J Comput Vis (2013) 102: 18. doi:10.1007/s11263-012-0589-5

Abstract

This paper introduces a 3D imaging framework that combines high-resolution photometric stereo and low-resolution depth. Our approach targets imaging scenarios based on either macro-lens photography combined with focal stacking or a large-format camera that are able to image objects with more than 600 samples per mm\(^2\). These imaging techniques allow photometric stereo algorithms to obtain surface normals at resolutions that far surpass corresponding depth values obtained with traditional approaches such as structured-light, passive stereo, or depth-from-focus. Our work offers two contributions for 3D imaging based on these scenarios. The first is a multi-resolution, patched-based surface reconstruction scheme that can robustly handle the significant resolution difference between our surface normals and depth samples. The second is a method to improve the initial normal estimation by using all the available focal information for images obtained using a focal stacking technique.

Keywords

3D ReconstructionHigh resolutionPhotometric stereoFocal stack

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Zheng Lu
    • 1
    • 3
  • Yu-Wing Tai
    • 2
  • Fanbo Deng
    • 1
  • Moshe Ben-Ezra
    • 3
  • Michael S. Brown
    • 1
  1. 1.National University of SingaporeSingaporeSingapore
  2. 2.Department of Computer ScienceKorea Advanced Institute of Science and TechnologyDaejeonSouth Korea
  3. 3.Microsoft Research AsiaHaidian District, BeijingPeople’s Republic of China
  4. 4.Department of Computer ScienceUniversity of Texas at AustinAustinUSA