Add to ORKGWe perform statistical analysis of 3D facial shapes in motion over different subjects and different motion se-quences. For this, we represent each motion sequence in a multilinear model space using one vector of coefficients for identity and one high-dimensional curve for the motion. We apply the resulting statistical model to two applications: to synthesize motion sequences, and to perform expression recognition. En route to building the model, we present a fully automatic approach to register 3D facial motion data, based on a multilinear model, and show that the resulting registrations are of high quality. 1
According to a long-standing hypothesis in motor control, complex body motion is organized in terms ...
This paper presents the methodology and performance of a statistical shape representation for automa...
Human faces provide important cues of human activities. Thus they are useful for human-human communi...
This paper presents a representation of 3D facial motion sequences that allows performing statistica...
My research goal is to achieve accurate and natural automatic facial expression recognition by exami...
International audienceWe propose a novel geometric framework for analyzing spontaneous facial expres...
The movement of landmarks on the human face can be recorded in 3D using motion capture equipment. We...
Rich face models already have a large impact on the fields of computer vision, perception research, ...
UnrestrictedThis research focuses on tracking, modeling, quantifying and analyzing facial motions fo...
Face analysis fields are widely spread out over a large quantity of domains : Human Computer Interac...
This thesis proposes a new way to analyze facial expressions through 3D scanned faces of real-life p...
Synthesis and re-targeting of facial expressions is central to facial animation and often involves s...
Human faces provide important cues of human activities. Thus they are useful for human-human communi...
The currently most accepted strategies for comparing shapes, such as Procrustes Analysis, use some k...
In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial...
According to a long-standing hypothesis in motor control, complex body motion is organized in terms ...
This paper presents the methodology and performance of a statistical shape representation for automa...
Human faces provide important cues of human activities. Thus they are useful for human-human communi...
This paper presents a representation of 3D facial motion sequences that allows performing statistica...
My research goal is to achieve accurate and natural automatic facial expression recognition by exami...
International audienceWe propose a novel geometric framework for analyzing spontaneous facial expres...
The movement of landmarks on the human face can be recorded in 3D using motion capture equipment. We...
Rich face models already have a large impact on the fields of computer vision, perception research, ...
UnrestrictedThis research focuses on tracking, modeling, quantifying and analyzing facial motions fo...
Face analysis fields are widely spread out over a large quantity of domains : Human Computer Interac...
This thesis proposes a new way to analyze facial expressions through 3D scanned faces of real-life p...
Synthesis and re-targeting of facial expressions is central to facial animation and often involves s...
Human faces provide important cues of human activities. Thus they are useful for human-human communi...
The currently most accepted strategies for comparing shapes, such as Procrustes Analysis, use some k...
In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial...
According to a long-standing hypothesis in motor control, complex body motion is organized in terms ...
This paper presents the methodology and performance of a statistical shape representation for automa...
Human faces provide important cues of human activities. Thus they are useful for human-human communi...