26 June 1992 Fiducial point localization in multisensor 3-D surface scanning
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Abstract
The estimation of fiducial point locations on surfaces is important in many close range photogrammetric applications, including biostereometrics, non-contact stress analysis, industrial metrology, and others. We have developed various methods for estimation of surface fiducial points based on optically sensed range maps obtained with a multisensor 3-D scanner originally designed for portrait sculpture. We previously described an algorithm based on a Kalman filter, a recursive spatially variant optimal estimator. The results demonstrated that accurate localization of surface landmarks can be readily achieved. Two new methods for estimation of fiducial point locations on surfaces were devised for the 3-D scanner. This high- speed non-contact 3-D scanner uses 6 CID cameras and 6 pattern projectors. Each projector incorporates coded bar patterns which are projected onto the object to be scanned. These patterns are captured in the camera image, mensurated, and tagged to identify corresponding projector profiles for each profile observed in the camera. The set of points belonging to a profile on the image plane are entered into a 2-D to 3-D solution, an analytical procedure where each image point (2-D point) is mapped to a point in space (3-D point). Three- dimensional surface points from all views are resampled onto a global cylindrical grid. Both range and texture maps are computed and stored. The range and texture information from all views is averaged and displayed on a 3-D graphics workstation (Silicon Graphics 4-D/340). Fiducial point localization achieved via the two new methods employing variations of Kalman filtering.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gulab H. Bhatia, Gulab H. Bhatia, Arjun Godhwani, Arjun Godhwani, Michael W. Vannier, Michael W. Vannier, } "Fiducial point localization in multisensor 3-D surface scanning", Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59567; https://doi.org/10.1117/12.59567
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