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

Wuyuan Xie, Ying Nie, Zhan Song, Charlie C.L. Wang

Research output: Contribution to journalArticlepeer-review


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
Pages (from-to)73-85
Number of pages13
JournalIEEE Computer Graphics and Applications
Issue number3
Early online date4 Apr 2019
Publication statusPublished - 1 May 2019


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


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