Surface Determination by Photometric Ranging

  • Authors:
  • Jeffrey B. Mulligan;Xavier L. C. Brolly

  • Affiliations:
  • NASA Ames Research Center;NASA Ames Research Center

  • Venue:
  • CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
  • Year:
  • 2004

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Abstract

We describe a method for recovering the three dimensional shape of a surface, using multiple images from a single camera, closely related to "light field reconstruction" described by Magda et al. A volume array of switchable illuminators is used to obtain a set of images that are used for the reconstruction. Unlike photometric stereo, where the illumination is assumed to be homogeneous, we exploit the inverse-square-law falloff of intensity with the distance between the illuminator and the surface. By placing illuminators at a variety of distances from the measurement volume, a direct estimate of surface range can be obtained, in addition to surface normal estimates obtained as in photometric stereo. We discuss solution methods and present simulation results for a few simple geometries. Aspects of illuminator design and calibration are also considered.