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2020 | OriginalPaper | Buchkapitel

Motion Capture Analysis and Reconstruction Using Spatial Keyframes

verfasst von : Bernardo F. Costa, Claudio Esperança

Erschienen in: Computer Vision, Imaging and Computer Graphics Theory and Applications

Verlag: Springer International Publishing

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Abstract

Motion capturing is the preferred technique to create realistic animations for skeleton-based models. Capture sessions, however, are costly and the resulting motions are hard to analyze for posterior modification and reuse. In this paper we propose several tools to analyze and reconstruct motions using the concept of spatial keyframes, idealized by Igarashi et al. [19]. Captured motions are represented by curves on the plane obtained by multidimensional projection, allowing the animator to associate regions on that plane with regions in pose space so that representative poses can be located and harvested. The problem of reconstruction from representative poses is also investigated by conducting experiments that measure the error behavior with respect to different multidimensional projection and interpolation algorithms. In particular, we introduce a novel multidimensional projection optimization that minimizes reconstruction errors. These ideas are showcased in an interactive application that can be publicly accessed online.

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Titel: Motion Capture Analysis and Reconstruction Using Spatial Keyframes
verfasst von: Bernardo F. Costa
Claudio Esperança
Verlag: Springer International Publishing
Buch: Computer Vision, Imaging and Computer Graphics Theory and Applications
Print ISBN: 978-3-030-41589-1

Electronic ISBN: 978-3-030-41590-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-41590-7_3

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