Mesh-based computation for solving photometric stereo with near point lighting

Wuyuan Xie, Ying Nie, Zhan Song, Charlie Wang

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

We tackle the problem of dense reconstruction with a practical system, in which near point lighting (NPL) is employed. Different from the conventional formulation of photometric stereo (PS) that assumes parallel lighting, PS under the NPL condition is a nonlinear problem as the local surface normals are coupled with its distance to the camera as well as the light sources. After obtaining the locations of point lights by a calibration process, we develop a new framework to solve this nonlinear reconstruction problem via mesh deformation, in which each facet is corresponding to a pixel in the image captured by the camera. In our framework, mesh deformation is decoupled into an iteration of interlaced steps of local projection and global blending. Experimental results verify that our method can generate accurate estimation of surface shape under NPL in a few iterations. Besides, this approach is robust to errors on the positions of light sources and is easy to be implemented.

Original languageEnglish
Article number8681452
Pages (from-to)73-85
Number of pages13
JournalIEEE Computer Graphics and Applications
Volume39
Issue number3
DOIs
Publication statusPublished - 2019
Externally publishedYes

Keywords

  • 3D reconstruction
  • near point lighting
  • photometric stereo
  • practical system

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