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Proceedings Paper

Design of a multisensor optical surface scanner
Author(s): Gulab H. Bhatia; Kirk E. Smith; Paul K. Commean; Jennifer J. Whitestone; Michael W. Vannier M.D.
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Paper Abstract

A reconfigurable, optical, 3D scanning system with sub-second acquisition of human body surface data was designed and simulated. Sensor elements (digital cameras/light beam projectors) that meet resolution, accuracy, and speed requirements are included in the system design. The sensors are interfaced to video frame grabber(s) under computer control resulting in a modular, low cost system. System operation and data processing are performed using a desktop graphics workstation. Surface data collected with this system can be oversampled to improve resolution and accuracy (viewed by overlapping camera/projector pairs). Multi- resolution data can be collected for different surfaces simultaneously or separately. Modeling and calibration of this reconfigurable system are achieved via a robust optimal estimation technique. Reconstruction software that allows seamless merging of a range data from multiple sensors has been implemented. Laser scanners that acquire body surface range data using one or two sensors require several seconds for data collection. Surface digitization of inaminate objects is feasible with such devices, but their use in human surface metrology is limited due to motion artifacts and occluded surfaces. Use of multiple, independent active sensors providing rapid collection and multi-resolution data enable sampling of complex human surface morphology not otherwise practical. 3D facial surface data has provided accurate measurements used in facial/craniofacial plastic surgery and modern personal protective equipment systems. Whole body data obtained with this new system is applicable to human factors research, medical diagnosis/treatment, and industrial design.

Paper Details

Date Published: 6 October 1994
PDF: 12 pages
Proc. SPIE 2355, Sensor Fusion VII, (6 October 1994); doi: 10.1117/12.189060
Show Author Affiliations
Gulab H. Bhatia, Rose Imaging, Inc. and Washington Univ. School of Medicine (United States)
Kirk E. Smith, Washington Univ. School of Medicine (United States)
Paul K. Commean, Washington Univ. School of Medicine (United States)
Jennifer J. Whitestone, Air Force Armstrong Lab. (United States)
Michael W. Vannier M.D., Washington Univ. School of Medicine (United States)

Published in SPIE Proceedings Vol. 2355:
Sensor Fusion VII
Paul S. Schenker, Editor(s)

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