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Active Appearance Models Revisited

by Iain Matthews, Simon Baker - International Journal of Computer Vision , 2003
"... Active Appearance Models (AAMs) and the closely related concepts of Morphable Models and Active Blobs are generative models of a certain visual phenomenon. Although linear in both shape and appearance, overall, AAMs are nonlinear parametric models in terms of the pixel intensities. Fitting an AAM to ..."
Abstract - Cited by 462 (39 self) - Add to MetaCart
Active Appearance Models (AAMs) and the closely related concepts of Morphable Models and Active Blobs are generative models of a certain visual phenomenon. Although linear in both shape and appearance, overall, AAMs are nonlinear parametric models in terms of the pixel intensities. Fitting an AAM

Active Appearance Models.

by Timothy F Cootes , Gareth J Edwards , Christopher J Taylor - IEEE Transactions on Pattern Analysis and Machine Intelligence, , 2001
"... AbstractÐWe describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations ..."
Abstract - Cited by 2153 (59 self) - Add to MetaCart
AbstractÐWe describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations

Layered active appearance models

by Eagle Jones, Stefano Soatto - In ICCV , 2005
"... Active appearance models (AAMs) provide a framework for modeling the joint shape and texture of an image. An AAM is a compact representation of both factors in a conditionally linear model. However, the standard AAM framework does not handle images which have missing features, or allow modification ..."
Abstract - Cited by 8 (0 self) - Add to MetaCart
Active appearance models (AAMs) provide a framework for modeling the joint shape and texture of an image. An AAM is a compact representation of both factors in a conditionally linear model. However, the standard AAM framework does not handle images which have missing features, or allow modification

Active Appearance Models with occlusion

by Ralph Gross, Iain Matthews, Simon Baker - J. Image & Vision Computing , 2006
"... Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible, including dynamic head pose and gaze estimation for real-time user interfaces, lip-reading, and expression recognition. ..."
Abstract - Cited by 49 (4 self) - Add to MetaCart
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible, including dynamic head pose and gaze estimation for real-time user interfaces, lip-reading, and expression recognition

Bilinear Active Appearance Models

by Jose Gonzalez-mora Fern
"... Appearance Models have been applied to model the space of human faces over the last two decades. In particular, Active Appearance Models (AAMs) have been successfully used for face tracking, synthesis and recognition, and they are one of the state-of-the-art approaches due to its efficiency and repr ..."
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Appearance Models have been applied to model the space of human faces over the last two decades. In particular, Active Appearance Models (AAMs) have been successfully used for face tracking, synthesis and recognition, and they are one of the state-of-the-art approaches due to its efficiency

OCCLUSIONS AND ACTIVE APPEARANCE MODELS

by Mcelory Hoffmann, Ben Herbst, Karin Hunter
"... Abstract: The deterministic active appearance model (AAM) tracker fails to track objects under occlusion. In this paper, we discuss two approaches to improve this tracker ’s robustness and tracking results. The first approach initialises the AAM tracker with a shape estimate obtained from an active ..."
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Abstract: The deterministic active appearance model (AAM) tracker fails to track objects under occlusion. In this paper, we discuss two approaches to improve this tracker ’s robustness and tracking results. The first approach initialises the AAM tracker with a shape estimate obtained from an active

HOG ACTIVE APPEARANCE MODELS

by Epameinondas Antonakos, Joan Alabort-i-medina, Georgios Tzimiropoulos, Stefanos Zafeiriou
"... We propose the combination of dense Histogram of Oriented Gradi-ents (HOG) features with Active Appearance Models (AAMs). We employ the efficient Inverse Compositional optimization technique and show results for the task of face fitting. By taking advantage of the descriptive characteristics of HOG ..."
Abstract - Cited by 5 (5 self) - Add to MetaCart
We propose the combination of dense Histogram of Oriented Gradi-ents (HOG) features with Active Appearance Models (AAMs). We employ the efficient Inverse Compositional optimization technique and show results for the task of face fitting. By taking advantage of the descriptive characteristics of HOG

Bayesian Active Appearance Models

by Joan Alabort-i-medina, Stefanos Zafeiriou
"... In this paper we provide the first, to the best of our knowledge, Bayesian formulation of one of the most suc-cessful and well-studied statistical models of shape and tex-ture, i.e. Active Appearance Models (AAMs). To this end, we use a simple probabilistic model for texture generation assuming both ..."
Abstract - Cited by 6 (5 self) - Add to MetaCart
In this paper we provide the first, to the best of our knowledge, Bayesian formulation of one of the most suc-cessful and well-studied statistical models of shape and tex-ture, i.e. Active Appearance Models (AAMs). To this end, we use a simple probabilistic model for texture generation assuming

Active Appearance Models fitting.

by Jean Kossaifi, Georgios Tzimiropoulos, Maja Pantic
"... Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a new image are based on Gauss-Newton (GN) optimizat ..."
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Finding landmarks on objects like faces is a challenging computer vision problem, especially in real life conditions (or in-the-wild) and Active Appearance Models have been widely used to solve it. State-of-the-art algorithms for fitting an AAM to a new image are based on Gauss-Newton (GN

Interpreting Face Images using Active Appearance Models

by G.J. Edwards, C.J. Taylor, T.F. Cootes, Manchester M Pt , 1998
"... We demonstrate a fast, robust method of interpreting face images using an Active Appearance Model (AAM). An AAM contains a statistical model of shape and grey-level appearance which can generalise to almost any face. Matching to an image involves finding model parameters which minimise the differenc ..."
Abstract - Cited by 168 (10 self) - Add to MetaCart
We demonstrate a fast, robust method of interpreting face images using an Active Appearance Model (AAM). An AAM contains a statistical model of shape and grey-level appearance which can generalise to almost any face. Matching to an image involves finding model parameters which minimise
Results 1 - 10 of 4,577,681