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

Authors

    • National University of Singapore
    • Microsoft Research Asia
  • Yu-Wing Tai
    • Department of Computer ScienceKorea Advanced Institute of Science and Technology
  • Fanbo Deng
    • National University of Singapore
  • Moshe Ben-Ezra
    • Microsoft Research Asia
  • Michael S. Brown
    • National University of Singapore
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 Reconstruction High resolution Photometric stereo Focal stack

Copyright information

© Springer Science+Business Media New York 2012