NDLI: Surface reconstruction from sliced point cloud data for designing facial prosthesis

Content Provider	IEEE Xplore Digital Library
Author	Sareen, K.K. Knopf, G.K. Canas, R.
Copyright Year	2009
Description	Author affiliation: Institute for Research in Construction, National Research Council, London, Ontario, N6G 4X8, Canada (Canas, R.) \|\| Department of Mech. & Mat. Eng., The University of Western Ontario, London, N6A 5B9, Canada (Sareen, K.K.) \|\| Faculty of Engineering, The University of Western Ontario, London, N6A 5B9, Canada (Knopf, G.K.)
Abstract	People with facial deformities often use prosthetic devices to restore their normal visual appearance. A prosthesis device is a custom-sculpted artificial facial feature made of silicon that is worn to cover deformity and restore form and hopefully function of the feature. Surface scanning, computer-aided design, and rapid prototyping technologies are being used to create and evaluate these customized prostheses. The geometry of the patient's existing facial features can be captured in few seconds using non-contact 3D scanners. However, the resultant point data set is very large and corrupted and should be reduced to reconstruct accurate facial surface. It is also equally important to evaluate the fitting characteristics of designed prosthetic device on patient's face for realistic effects. In this paper, an integrated contour-based algorithm is presented, that facilitates a unified approach for data simplification and surface modeling of face and prosthetic device. For data simplification, an ordered sequence of contours from a dense unstructured point cloud data is extracted and simplified as B-spline curves with a reduced number of control points. The simplified-extracted contours are then used to generate the facial lofted surface. This facial model is then used for modeling and fitting evaluation of the prosthetic device. A prosthetic device is designed using contour matching of a generic feature model and the patient's facial model to ensure its fitting accuracy on patient's facial features. Facial data with a simulated nasal deformity is used to illustrate this methodology. The effectiveness of the method can be improved by increasing the number of parallel contours, and using a larger second stage reduction ratio during data simplification.
Starting Page	6
Ending Page	11
File Size	3343852
Page Count	6
File Format	PDF
ISBN	9781424438778
DOI	10.1109/TIC-STH.2009.5444410
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Surface reconstruction Design automation Clouds Prototypes Facial prostheses Surface fitting Silicon Data mining Point cloud data simplification Facial features Prosthetics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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