Titlebook: Cage-based Performance Capture; Yann Savoye Book 2014 Springer International Publishing Switzerland 2014 Cage-Based Performance.Computatio

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https://doi.org/10.1007/978-3-658-16289-4orld to editing of video-based animation. In particular, we present and discuss a concise statement concerning the problem of non-rigid parametrization for video-based captured animation. To enforce the importance of this problem, we demonstrate the impact of this research area by the various domain

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Yann SavoyeRecent research on Cage-Based Performance Capture.Presents a graphic-to-vision strategy for performance capture.Written by an expert in the field.Includes supplementary material:

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Reusing Performance Capture Data,uired by multiple view techniques. We finally provide a series of results with a video-based evaluation to measure the accuracy our . technique applied on captured mesh sequences. Finally, we propose an . algorithm dealing with the exaggeration of dynamic surface in the cage-space with additional video-based appearance stylization.

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Reusing Performance Capture Data,uired by multiple view techniques. We finally provide a series of results with a video-based evaluation to measure the accuracy our . technique applied on captured mesh sequences. Finally, we propose an . algorithm dealing with the exaggeration of dynamic surface in the cage-space with additional vi

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General Introduction,s of application. In addition, we clearly exhibit the motivations, objectives, and difficulties of the tackled class of problems. Hence, we yet uncover a research roadmap of our approach and original contributions to alleviate this problem. Finally, we draw the chapters’ organization for this book.

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Book 2014 visual media production. In this book, we address the problem of extracting or acquiring and then reusing non-rigid parametrization for video-based animations. At first sight, a crucial challenge is to reproduce plausible boneless deformations while preserving global and local captured properties o