Active nonrigid ICP algorithm
File(s)
Accepted version
Author(s)
Cheng, S
Marras, I
Zafeiriou, S
Pantic, M
Type
Conference Paper
Abstract
The problem of fitting a 3D facial model to a 3D mesh has received a lot of attention the past 15-20 years. The majority of the techniques fit a general model consisting of a simple parameterisable surface or a mean 3D facial shape. The drawback of this approach is that is rather difficult to describe the non-rigid aspect of the face using just a single facial model. One way to capture the 3D facial deformations is by means of a statistical 3D model of the face or its parts. This is particularly evident when we want to capture the deformations of the mouth region. Even though statistical models of face are generally applied for modelling facial intensity, there are few approaches that fit a statistical model of 3D faces. In this paper, in order to capture and describe the non-rigid nature of facial surfaces we build a part-based statistical model of the 3D facial surface and we combine it with non-rigid iterative closest point algorithms. We show that the proposed algorithm largely outperforms state-of-the-art algorithms for 3D face fitting and alignment especially when it comes to the description of the mouth region.
Date Issued
2015-07-17
Date Acceptance
2015-05-04
Citation
2015 11th International Conference on Automatic Face and Gesture Recognition, 2015
ISBN
9781479960262
Publisher
IEEE
Journal / Book Title
2015 11th International Conference on Automatic Face and Gesture Recognition
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
2015 11th International Conference on Automatic Face and Gesture Recognition
Publication Status
Published
Start Date
2015-05-04
Finish Date
2015-05-08
Coverage Spatial
Ljubljana, Slovenia