Template Deformation for Point Cloud Fitting
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Date
2006
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
The reconstruction of high-quality surface meshes from measured data is a vital stage in digital shape processing. We present a new approach to this problem that deforms a template surface to fit a given point cloud. Our method takes a template mesh and a point cloud as input, the latter typically shows missing parts and measurement noise. The deformation process is initially guided by user specified correspondences between template and data, then during iterative fitting new correspondences are established. This approach is based on a Laplacian setting for the template without need of any additional meshing of the data or cross-parameterization. The reconstructed surface fits to the point cloud while it inherits shape properties and topology of the template. We demonstrate the effectiveness of the approach for several point data sets from different sources.
Description
@inproceedings{:10.2312/SPBG/SPBG06/027-035,
booktitle = {Symposium on Point-Based Graphics},
editor = {Mario Botsch and Baoquan Chen and Mark Pauly and Matthias Zwicker},
title = {{Template Deformation for Point Cloud Fitting}},
author = {Stoll, Carsten and Karni, Zachi and Rössl, Christian and Yamauchi, Hitoshi and Seidel, Hans-Peter},
year = {2006},
publisher = {The Eurographics Association},
ISSN = {1811-7813},
ISBN = {3-905673-32-0},
DOI = {/10.2312/SPBG/SPBG06/027-035}
}