Accuracy assessments of point cloud 3D registration method for high accuracy craniofacial mapping
Article
Article Title | Accuracy assessments of point cloud 3D registration method for high accuracy craniofacial mapping |
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Article Category | Article |
Authors | Majid, Zulkepli (Author), Setan, Halim (Author) and Chong, Albert K.-F. (Author) |
Journal Title | Geoinformation Science Journal |
Journal Citation | 9 (2), pp. 36-44 |
Number of Pages | 9 |
Year | 2009 |
Place of Publication | Kuala Lumpur, Malaysia |
Web Address (URL) | http://www.fksg.utm.my/journal/GSJ/PDF/GSJ%20VOL%202.%202009/4%20-%20new%20-%20Accuracy%20Assesment%20of%20Point%203D%20-%20Zulkepli%20Majid2.pdf |
Abstract | 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 |
Keywords | convergence angle; craniofacial mapping; focal length; laser scanner; scan beam intensity; scan resolution; lasers; scanning systems; convergence (biology); laser beams; resolution (optics) |
ANZSRC Field of Research 2020 | 429999. Other health sciences not elsewhere classified |
401304. Photogrammetry and remote sensing | |
400305. Biomedical instrumentation | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of Technology Malaysia, Malaysia |
University of Malaya, Malaysia |
https://research.usq.edu.au/item/9z8q1/accuracy-assessments-of-point-cloud-3d-registration-method-for-high-accuracy-craniofacial-mapping
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