Effect of Camera Setup on Photogrammetry Texture-Based Surface Reconstruction

Alan Jennings, Daniel Magree, Greggory Briggs, Christopher Allen, Jonathan Black, Marcus Jameson, David Rogers, S. Adam Pollock, Joseph Blandino
2010 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 18th AIAA/ASME/AHS Adaptive Structures Conference 12th   unpublished
Photogrammetry is a preferred technique for noncontact measurement of flexible structures such as large membranes. Traditionally, features are projected onto the surface for automatic target recognition between photos. New techniques use the local texture of a surface to match random speckle between photos. This technique produces higher resolution surfaces than possible using distinct targets while offering the same precision. In order to quantify the quality of the surfaces, a set test
more » ... , a set test surfaces made by a 3D printer provide different, known profiles. Many images are taken of an object with a projected texture. A mesh is created from each pair of images and the depth error is used to quantify accuracy of the results. Outliers are common with texture based photogrammetry, so atypical statistics are used such as fractional norms. Results show accuracy on the order of
doi:10.2514/6.2010-2749 fatcat:mnvyazkfcvc35klas22hddyvnq