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

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dc.contributor.authorKuster, Claudiaen_US
dc.contributor.authorBazin, Jean-Charlesen_US
dc.contributor.authorĂ–ztireli, Cengizen_US
dc.contributor.authorDeng, Tengen_US
dc.contributor.authorMartin, Tobiasen_US
dc.contributor.authorPopa, Tiberiuen_US
dc.contributor.authorGross, Markusen_US
dc.contributor.editorB. Levy and J. Kautzen_US
dc.date.accessioned2015-03-03T12:25:43Z
dc.date.available2015-03-03T12:25:43Z
dc.date.issued2014en_US
dc.description.abstractMulti-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.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12285en_US
dc.publisherThe Eurographics Association and John Wiley and Sons Ltd.en_US
dc.titleSpatio-Temporal Geometry Fusion for Multiple Hybrid Cameras using Moving Least Squares Surfacesen_US
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33-Issue 2
Full Papers 2014 - CGF 33-Issue 2