Constructing NURBS surface model from scattered and unorganized range data

In Kyu Park, Il Dong Yun, Sang Uk Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

We propose an algorithm to produce a 3D surface model from a set of range data, based on the Non-Uniform Rational B-Splines (NURBS) surface fitting technique. It is assumed that the range data is initially unorganized and scattered 3D points, while their connectivity is also unknown. The proposed algorithm is roughly made up of two stages: initial model approximation employing K-means clustering, and construction of NURBS patch network using hierarchical graph representation. The initial model is approximated by both a polyhedral and triangular model. Then, the initial model is represented by a hierarchical graph, which is efficiently used to construct the G1 continuous NURBS patch network of the whole object. Experiments are carried out on synthetic and real range data to evaluate the performance of the proposed algorithm. It is shown that the initial model, as well as the NURBS patch network, are constructed automatically, while the modeling error is observed to be negligible.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-320
Number of pages9
ISBN (Print)0769500625, 9780769500621
DOIs
StatePublished - 1999
Externally publishedYes
Event2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999 - Ottawa, United States
Duration: 4 Oct 19998 Oct 1999

Publication series

NameProceedings - 2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999

Conference

Conference2nd International Conference on 3-D Digital Imaging and Modeling, 3DIM 1999
Country/TerritoryUnited States
CityOttawa
Period4/10/998/10/99

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

Fingerprint

Dive into the research topics of 'Constructing NURBS surface model from scattered and unorganized range data'. Together they form a unique fingerprint.

Cite this