Interactive Sculpting of Digital Faces Using an Anatomical Modeling Paradigm
Artikel i vetenskaplig tidskrift, 2020

Digitally sculpting 3D human faces is a very challenging task. It typically requires either 1) highly-skilled artists using complex software packages for high quality results, or 2) highly-constrained simple interfaces for consumer-level avatar creation, such as in game engines. We propose a novel interactive method for the creation of digital faces that is simple and intuitive to use, even for novice users, while consistently producing plausible 3D face geometry, and allowing editing freedom beyond traditional video game avatar creation. At the core of our system lies a specialized anatomical local face model (ALM), which is constructed from a dataset of several hundred 3D face scans. User edits are propagated to constraints for an optimization of our data-driven ALM model, ensuring the resulting face remains plausible even for simple edits like clicking and dragging surface points. We show how several natural interaction methods can be implemented in our framework, including direct control of the surface, indirect control of semantic features like age, ethnicity, gender, and BMI, as well as indirect control through manipulating the underlying bony structures. The result is a simple new method for creating digital human faces, for artists and novice users alike. Our method is attractive for low-budget VFX and animation productions, and our anatomical modeling paradigm can complement traditional game engine avatar design packages.

Face modeling

Face animation

Digital human

Författare

Aurel Gruber

Disney Research|Studios

Eidgenössische Technische Hochschule Zürich (ETH)

Marco Fratarcangeli

Chalmers, Data- och informationsteknik, Interaktionsdesign (Chalmers)

Gaspard Zoss

Disney Research|Studios

Eidgenössische Technische Hochschule Zürich (ETH)

Roman Cattaneo

Disney Research|Studios

Thabo Beeler

Disney Research|Studios

Markus Gross

Eidgenössische Technische Hochschule Zürich (ETH)

Disney Research|Studios

Derek Bradley

Disney Research|Studios

Computer Graphics Forum

0167-7055 (ISSN) 1467-8659 (eISSN)

Vol. 39 5 93-102

Ämneskategorier

Datorteknik

Datavetenskap (datalogi)

Datorseende och robotik (autonoma system)

Styrkeområden

Informations- och kommunikationsteknik

DOI

10.1111/cgf.14071

Mer information

Senast uppdaterat

2020-08-28