Spatio-Temporal Geometry Fusion for Multiple Hybrid Cameras using Moving Least Squares Surfaces

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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley and Sons Ltd.
Abstract
Multi-view reconstruction aims at computing the geometry of a scene observed by a set of cameras. Accurate 3D reconstruction of dynamic scenes is a key component for a large variety of applications, ranging from special effects to telepresence and medical imaging. In this paper we propose a method based on Moving Least Squares surfaces which robustly and efficiently reconstructs dynamic scenes captured by a calibrated set of hybrid color+depth cameras. Our reconstruction provides spatio-temporal consistency and seamlessly fuses color and geometric information. We illustrate our approach on a variety of real sequences and demonstrate that it favorably compares to state-of-the-art methods.
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@article{
:10.1111/cgf.12285
, journal = {Computer Graphics Forum}, title = {{
Spatio-Temporal Geometry Fusion for Multiple Hybrid Cameras using Moving Least Squares Surfaces
}}, author = {
Kuster, Claudia
and
Bazin, Jean-Charles
and
Öztireli, Cengiz
and
Deng, Teng
and
Martin, Tobias
and
Popa, Tiberiu
and
Gross, Markus
}, year = {
2014
}, publisher = {
The Eurographics Association and John Wiley and Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
/10.1111/cgf.12285
} }
Citation