Data-Driven and Anthropometric Local Editing of Facial Polygon Meshes

Editing the faces of 3D avatars is a difficult and important task. We will develop an approach that enables users

to perform local edits of faces through means of adjusting the values of anthropometric measurements. Such

measurements are derived from well-established research about the shape and proportion of faces. Based on a

data set of 3D scans of faces, our approach will understand trends among the measurements and the shape of

faces. With our approach, editing the face will be easier and more predictable. Furthermore, editing a specific

region of the face, for example the nose, will not have unexpected side effects elsewhere on the face, as is

common with current methods. Our new tool will enable artists to create faces that match their intent.

Faculty Supervisor:

Eric Paquette

Student:

Partner:

Ubisoft Toronto

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Current openings

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Government

Mitacs Partners