English

Compressive Schlieren Deflectometry

Computer Vision and Pattern Recognition 2012-12-04 v1

Abstract

Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse deflection map (or spectrum). This paper presents a novel method to compressively acquire and reconstruct such spectra. This is achieved by altering the way deflection information is captured in a common Schlieren Deflectometer, i.e., the deflection spectra are indirectly observed by the principle of spread spectrum compressed sensing. These observations are realized optically using a 2-D Spatial Light Modulator (SLM) adjusted to the corresponding sensing basis and whose modulations encode the light deviation subsequently recorded by a CCD camera. The efficiency of this approach is demonstrated experimentally on the observation of few test objects. Further, using a simple parametrization of the deflection spectra we show that relevant key parameters can be directly computed using the measurements, avoiding full reconstruction.

Keywords

Cite

@article{arxiv.1212.0433,
  title  = {Compressive Schlieren Deflectometry},
  author = {Prasad Sudhakar and Laurent Jacques and Xavier Dubois and Philippe Antoine and Luc Joannes},
  journal= {arXiv preprint arXiv:1212.0433},
  year   = {2012}
}

Comments

9 pages, 7 figures

R2 v1 2026-06-21T22:47:55.556Z