Accuracy assessments of point cloud 3D registration method for high accuracy craniofacial mapping

Majid, Zulkepli and Setan, Halim and Chong, Albert K.-F. (2009) Accuracy assessments of point cloud 3D registration method for high accuracy craniofacial mapping. Geoinformation Science Journal, 9 (2). pp. 36-44. ISSN 1511-9491


Three dimensional (3D) laser scanning technology has found to be an excellent method for modeling and measuring 3D objects. The 3D point clouds of an object can be acquired within one second and stored digitally for pre-processing task. Complex mapping of 3D
object such as human faces required at least two scanning images to cover the complete facial area (from right ear to left ear, and from hair line to bottom part of the chin) with optimum 3D modeling accuracy. For complete 3D model generation, the scanning images are needed to be
registered and merged together. Existing registration method used corresponding features between the two scanned images as registration primitive and finally 3D transformation algorithm was applied to register the images. This paper describes the use of photogrammetric
targets, as registration primitive to register two scanning images of human face. The so called “paper targets” were setup on the special design photogrammetric control frame where the human face was placed at the middle of the frame during scanning process. The photogrammetric control frame was calibrated using close-range convergent photogrammetry with coded targets and high precision scale bars to determine the precise 3D coordinate of such
targets. The targets were also included in the scanning images and represented as point clouds. Via laser scanning images, the centroid of the targets was precisely measured and the 3D transformation algorithm was successfully applied to transform the scanning point clouds from laser scanning coordinate system to photogrammetric coordinate system. The output of the
registered point clouds was displayed and processed in reverse engineering RapidForm 2004 software. The accuracy of the method was evaluated using shell-shell deviation analysis method where the average deviation of the two scanning images was calculated. The results show that the accuracy of the 3D registration accuracy using photogrammetric targets was measured to be 0.129mm to 0.285mm. The reliability of the 3D registration accuracy using
photogrammetric targets method was also evaluated and the standard deviation of the method is 0.10mm to 0.50mm.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Authors retain copyright. © 2009 FKSG for the paper.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 24 Sep 2010 05:18
Last Modified: 24 Nov 2013 23:18
Uncontrolled Keywords: convergence angle; craniofacial mapping; focal length; laser scanner; scan beam intensity; scan resolution; lasers; scanning systems; convergence (biology); laser beams; resolution (optics)
Fields of Research : 11 Medical and Health Sciences > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
09 Engineering > 0903 Biomedical Engineering > 090303 Biomedical Instrumentation
Socio-Economic Objective: C Society > 92 Health > 9202 Health and Support Services > 920203 Diagnostic Methods

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