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Monocular Non-Rigid Surface Reconstruction with Learned Deformation Model

  • Vladislav GolyanikEmail author
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Abstract

CURRENT techniques for monocular reconstruction either require dense correspondences and rely on motion and deformation cues, or assume a highly accurate reconstruction (referred to as a template) of at least a single frame given in advance and operate in the manner of non-rigid tracking. Accurate computation of dense point tracks often requires multiple frames and can be computationally expensive. Availability of a template is a very strong prior which restricts system operation to a pre-defined environment and scenarios (see chapter 3.1 for the detailed introduction to the field and the state of the art).

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020

Authors and Affiliations

  1. 1.Computer Graphics D4Max Planck Institute for InformaticsSaarbrueckenGermany

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