Statistical features of speckle-patterns for stereophotogrammetric 3D-reconstruction

  1. Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena

andreas.stark@uni-jena.de

In an active stereophotogrammetric setup sinusoidal, bandlimited or speckle-patterns are projected sequentially onto an object to find a time based correlation. Out of these three only the speckle-patterns have a high depth of field and allow at the same time a high speed pattern generation. However their statistics limit their application compared to, for example, band limited patterns. The histogram of a speckle-distribution shows a clear concentration of intensities around an average value. In this work, we present a technique for speckle-based setups to decrease this disadvantageous effect by frequency filtering of the pattern and adapting the reconstruction algorithm to the statistical features of speckle-patterns. Possible advantages and disadvantages for the performance are investigated.

Manuscript not yet submitted. The submission phase is currently closed.
@inproceedings{dgao117-b27, title = {Statistical features of speckle-patterns for stereophotogrammetric 3D-reconstruction}, author = {Andreas Walter Stark, Eugene Wong, Holger Babovsky, Richard Kowarschik}, booktitle = {DGaO-Proceedings, 117. Jahrestagung}, year = {2016}, publisher = {Deutsche Gesellschaft für angewandte Optik e.V.}, issn = {1614-8436}, note = {Talk B27} }
117. Annual Conference of the DGaO · Hannover · 2016