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Spatio‐temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces
Author(s) -
Kuster Claudia,
Bazin JeanCharles,
Öztireli Cengiz,
Deng Teng,
Martin Tobias,
Popa Tiberiu,
Gross Markus
Publication year - 2014
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12285
Subject(s) - computer vision , computer science , artificial intelligence , key (lock) , computer graphics (images) , set (abstract data type) , ranging , moving least squares , mathematics , mathematical analysis , telecommunications , computer security , programming language
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.