Real-Time Combined 2D+3D Active Appearance Models

Active Appearance Models (AAMs) are generative models commonly used to model faces. Another closely related type of face models are 3D Morphable Models (3DMMs). Although AAMs are 2D, they can still be used to model 3D phenomena such as faces moving across pose. We first study the representational power of AAMs and show that they can model anything a 3DMM can, but possibly require more shape parameters. We quantify the number of additional parameters required and show that 2D AAMs can generate model instances that are not possible with the equivalent 3DMM. We proceed to describe how a non-rigid structure-from-motion algorithm can be used to construct the corresponding 3D shape modes of a 2D AAM. We then show how the 3D modes can be used to constrain the AAM so that it can only generate model instances that can also be generated with the 3D modes. Finally, we propose a realtime algorithm for fitting the AAM while enforcing the constraints, creating what we call a "Combined 2D+3D AA...

• Type: Conference
• Year: 2004
• Where: CVPR
• Authors: Jing Xiao, Simon Baker, Iain Matthews, Takeo Kanade
• Keywords: 2d Aam, Active Appearance Models, Computer Vision, Corresponding 3D Shape, CVPR 2004, Model Instances, Non-rigid Structure-from-motion Algorithm