| 书目名称 | Cage-based Performance Capture |
| 编辑 | Yann Savoye |
| 视频video | http://file.papertrans.cn/221/220746/220746.mp4 |
| 概述 | Recent 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: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | Nowadays, highly-detailed animations of live-actor performances are increasingly easier to acquire and 3D Video has reached considerable attentions in 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 of dynamic surfaces with a limited number of controllable, flexible and reusable parameters. To solve this challenge, we directly rely on a skin-detached dimension reduction thanks to the well-known cage-based paradigm. First, we achieve .Scalable Inverse Cage-based Modeling. by transposing the inverse kinematics paradigm on surfaces. Thus, we introduce a cage inversion process with user-specified screen-space constraints. Secondly, we convert non-rigid animated surfaces into a sequence of optimal cage parameters via .Cage-based Animation Conversion.. Building upon this reskinning procedure, we also develop a well-formed .Animation Cartoonization. algorithm for multi-view data in term of cage-based surface exaggeration and video-based appear |
| 出版日期 | Book 2014 |
| 关键词 | Cage-Based Performance; Computational Intelligence; Computer Vision; Graphic to Vision; Performance Anim |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-01538-5 |
| isbn_softcover | 978-3-319-34401-0 |
| isbn_ebook | 978-3-319-01538-5Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing Switzerland 2014 |
|Archiver|手机版|小黑屋|
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