ML Anthology

Surface Determination by Photometric Ranging

Jeffrey B. Mulligan, Xavier L. C. Brolly
CVPR 2004 pp. 40
doi:10.1109/CVPR.2004.447 /cvpr/2004/mulligan2004cvpr-surface/

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.

PDF CVPR Semantic Scholar

Cite

Text

Mulligan and Brolly. "Surface Determination by Photometric Ranging." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.447

Markdown

[Mulligan and Brolly. "Surface Determination by Photometric Ranging." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/mulligan2004cvpr-surface/) doi:10.1109/CVPR.2004.447

BibTeX

@inproceedings{mulligan2004cvpr-surface,
  title     = {{Surface Determination by Photometric Ranging}},
  author    = {Mulligan, Jeffrey B. and Brolly, Xavier L. C.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {40},
  doi       = {10.1109/CVPR.2004.447},
  url       = {https://mlanthology.org/cvpr/2004/mulligan2004cvpr-surface/}
}