Fitting subdivision surface models to noisy and incomplete 3-D data

Spela Ivekovic, Emanuele Trueco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regions with the a-priori shape information and produce a smooth, compact and structured data description. The result can be used for further data manipulation, compression, or visualisation. Our fitting algorithm uses a quasi-interpolation technique which manipulates the base mesh of the subdivision model to achieve better approximation. We extend the approach designed for scientific visualisation and animation to deal with incomplete and noisy data and preserve prior shape constraints where data is missing. We illustrate the algorithm on range and stereo data with a set of different subdivision models and demonstrate the applicability of the method to the problem of novel view synthesis from incomplete stereo data. © Springer-Verlag Berlin Heidelberg 2007.

Original languageEnglish
Title of host publicationComputer Vision/Computer Graphics Collaboration Techniques - Third International Conference, MIRAGE 2007, Proceedings
Pages542-554
Number of pages13
Volume4418 LNCS
Publication statusPublished - 2007
Event3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques - Rocquencourt, France
Duration: 28 Mar 200730 Mar 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4418 LNCS
ISSN (Print)0302-9743

Conference

Conference3rd International Conference, MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques
Abbreviated titleMIRAGE 2007
CountryFrance
CityRocquencourt
Period28/03/0730/03/07

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