Perspective imaging under structured light

Abstract

Traditionally, "Structured Light" has been used to recover surface topology and estimate depth maps. A more recent development is the use of "Structured Light" in surpassing the fundamental limit on spatial resolution imposed by diffraction. But, its use in surpassing the diffraction limit remains confined to microscopy, due to issues that arise in macroscopic imaging: perspective foreshortening, aliasing and need for calibration. Also, no formal attempt has been made to unify the above embodiments, despite their common reliance on "Structured Light". An original contribution of this work is the use of "Structured Light" in surpassing the diffraction limit of macroscopic imaging systems. Other contributions include • unifying the "Structured Light" embodiments in a single framework • realizing OSR and depth-estimation in a single un-calibrated setup when the image planes of the imaging & illumination system are parallel. Potential applications include bar code scanning and surveillance. © 2010 Springer-Verlag.