NDLI: Contour-based 3D point cloud simplification for modeling freeform surfaces

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	The reconstruction of accurate freeform surface models of 3D scanned objects is a common task encountered in creating virtual reality environments for anatomical reconstruction, cartography, cultural artifact modeling, digital archaeology, infrastructure renewal, and computer-aided design. Difficulties occur in reconstructing smooth surfaces from these scanned data sets because the acquired data is very large and is often infiltrated with scanning errors. For surface reconstruction, visualization, and interactive virtual modeling, it is necessary to reduce the amount of raw scanned data. Many existing data simplification techniques are complex and not directly applicable to spline-based surface models. A novel two stage contour-based data simplification algorithm is introduced in this paper and applied to facial surface reconstruction, which may be used for human modeling for computer games or model creation for virtual museums. The first stage extracts a series of equally spaced sectioned contours directly from a dense 3D data points. In the second stage, each extracted contour is redefined as a cubic B-spline curve by reduced number of control points defined by a user defined reduction ratio. A lofted surface is finally created from these reconstructed contours. The effectiveness of the synthetic surface reconstruction algorithm is demonstrated using its deviation values from its original point cloud data set. The experimental results show that the proposed algorithm generates a fairly accurate spline based facial model with only 5–20% of the actual scanned data, based upon the surface complexity. Performance can be improved by increasing the number of extracted contours, followed by a greater reduction ratio in the second data simplification stage.
Starting Page	381
Ending Page	386
File Size	1960649
Page Count	6
File Format	PDF
ISBN	9781424438778
DOI	10.1109/TIC-STH.2009.5444472
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	Design automation Clouds Geometric modeling Humans Data mining Cultural differences Spline Surface reconstruction Data simplification Data visualization Virtual reality Computer errors Shape reconstruction Facial features Decimation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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