Constrained local models (CLMs) have recently demonstrated good performance in non-
rigid object alignment/tracking in comparison to leading holistic approaches (eg, AAMs). A …

In this paper, we propose a framework for both gradient descent image and object alignment
in the Fourier domain. Our method centers upon the classical Lucas & Kanade (LK) …

The active appearance model (AAM) is a powerful method for modeling and segmenting
deformable visual objects. The utility of the AAM stems from two fronts: its compact …

Convex quadratic fitting (CQF) has demonstrated great success recently in the task of non-
rigidly registering a face in a still image using a constrained local model (CLM). A CLM is a …

Active appearance models (AAMs) have demonstrated great utility when being employed for
non-rigid face alignment/tracking. The “simultaneous” algorithm for fitting an AAM achieves …

This paper proposes a learned data-driven approach for accurate, real-time tracking of facial
features using only intensity information. The task of automatic facial feature tracking is …

This work addresses the matching of a 3D deformable face model to 2D images through a
2.5 D Active Appearance Models (AAM). We propose a 2.5 D AAM that combines a 3D …

In this paper we propose a framework for gradient descent image alignment in the Fourier
domain. Specifically, we propose an extension to the classical Lucas & Kanade (LK) …

When a face is partially occluded in an image, the existing discriminative or generative
methods often do not find facial features. This is due to the limitations of local facial feature …

Gaining invariance to camera and illumination variations has been a well investigated topic
in Active Appearance Model (AAM) fitting literature. The major problem lies in the inability of …