Easy Rigging of Face by Automatic Registration and Transfer of Skinning Parameters

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Ludovic Dutreve (Author) Other; Alexandre Meyer (Author) Other; Veronica Orvalho (Author) FCUP; Saida Bouakaz (Author) Other

Conference proceedings International

Title: COMPUTER VISION AND GRAPHICS, PT I

Pages: 333-341

International Conference on Computer Vision and Graphics

Warsaw, POLAND, SEP 20-22, 2010

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 7 Citations

COMPENDEX

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Physical sciences > Computer science

Other information

Authenticus ID: P-005-6NP

DOI: 10.1007/978-3-642-15910-7_38

Abstract (EN): Preparing a facial mesh to be animated requires a laborious manual rigging process. The rig specifies how the input animation data deforms the surface and allows artists to manipulate a character. We present a method that automatically rigs a facial mesh based on Radial Basis Functions (RBF) and linear blend skinning approach. Our approach transfers the skinning parameters (feature points and their envelopes, ie. point-vertex weights), of a reference facial mesh (source) - already rigged - to the chosen facial mesh (target) by computing an automatic registration between the two meshes. There is no need to manually mark the correspondence between the source and target mesh. As a result, inexperienced artists can automatically rig facial meshes and start right away animating their 3D characters, driven for instance by motion capture data.

Language: English

Type (Professor's evaluation): Scientific

Notes: Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 6374 LNCS, n PART 1. - Publisher: Springer Verlag. - ISSN: 03029743, E-ISSN: 16113349; ISBN-10: 3642159095, ISBN-13: 9783642159091; DOI: 10.1007/978-3-642-15910-7_38. - Main Heading: Computer vision.

No. of pages: 9