Cage-based Tracking for Performance Animation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Cage-based Tracking for Performance Animation

Abstract

Full body performance capture is a promising emerging technology that has been intensively studied in Computer Graphics and Computer Vision over the last decade. Highly-detailed performance animations are easier to obtain using existing multiple views platforms, markerless capture and 3D laser scanner. In this paper, we investigate the feasibility of extracting optimal reduced animation parameters without requiring an underlying rigid kinematic structure. This paper explores the potential of introducing harmonic cage-based linear estimation and deformation as post-process of current performance capture techniques used in 3D time-varying scene capture technology. We propose the first algorithm for performing cage-based tracking across time for vision and virtual reality applications. The main advantages of our novel approach are its linear single pass estimation of the desired surface, easy-to-reuse output cage sequences and reduction in storage size of animations. Our results show that estimated parameters allow a sufficient silhouette-consistent generation of the enclosed mesh under sparse frame-to-frame animation constraints and large deformation.
Fichier principal
Vignette du fichier
accv10.pdf (2.8 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

inria-00527805 , version 1 (12-12-2014)

Identifiers

  • HAL Id : inria-00527805 , version 1

Cite

Yann Savoye, Jean-Sébastien Franco. Cage-based Tracking for Performance Animation. ACCV'10 :the Tenth Asian Conference on Computer Vision, Nov 2010, Queenstown, New Zealand. ⟨inria-00527805⟩
207 View
158 Download

Share

Gmail Facebook X LinkedIn More