Articulated mesh animation from multi-view silhouettes
Name
articulated_mesh_animation.pdf
Size
1.62 MB
Format
Adobe PDF
Checksum (MD5)
f28793e9372f67a16c2298f8ce17e3b0
Author(s)
Vlasic, Daniel
Baran, Ilya
Matusik, Wojciech
Popovic, Jovan
Date Issued
August 2008
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Vlasic, Daniel, Ilya Baran, Wojciech Matusik, and Jovan Popović. “Articulated Mesh Animation from Multi-View Silhouettes.” ACM Transactions on Graphics 27, no. 3 (August 1, 2008): 1.
Version
Author's final manuscript
Abstract
Details in mesh animations are difficult to generate but they have great impact on visual quality. In this work, we demonstrate a practical software system for capturing such details from multi-view video recordings. Given a stream of synchronized video images that record a human performance from multiple viewpoints and an articulated template of the performer, our system captures the motion of both the skeleton and the shape. The output mesh animation is enhanced with the details observed in the image silhouettes. For example, a performance in casual loose-fitting clothes will generate mesh animations with flowing garment motions. We accomplish this with a fast pose tracking method followed by nonrigid deformation of the template to fit the silhouettes. The entire process takes less than sixteen seconds per frame and requires no markers or texture cues. Captured meshes are in full correspondence making them readily usable for editing operations including texturing, deformation transfer, and deformation model learning.
Subjects
Singapore-MIT Gambit Game Lab
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/1360612.1360696
