Single view reconstruction is fundamentally an under-constrained problem. We aim to develop new approaches to model human face and motion with model priors that restrict the space of possible solutions. First, we develop a novel approach to recover the 3D shape from a single view image under challenging conditions, such as large variations in illumination and pose. The problem is addressed by employing the techniques of non-linear manifold embedding and alignment. Specifically, the local image models for each patch of facial images and the local surface models for each patch of 3D shape are learned using a non-linear dimensionality reduction technique, and the correspondences between these local models are then learned by a manifold alignme...
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a si...
This paper addresses tracking and 3D pose estimation of human faces with large pose and expression c...
Recovery of human pose from videos has become a highly active research area in the last decade becau...
In this thesis we developed new techniques to detect, reconstruct and track human faces from pure im...
This paper presents a fully automatic system that recovers 3D face models from sequences of facial i...
Digital humans play the leading roles in every aspect of the virtual world. In recent years, multi-v...
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face fro...
peer reviewedEstimating the pose of the observed person is crucial for a large variety of applicatio...
The three-dimensional motion of humans is underdetermined when the observation is limited to a singl...
Best paper runner up awardInternational audienceIn this paper we address the problem of markerless h...
Geometric reconstruction of dynamic objects is a fundamental task of computer vision and graphics, a...
In this paper, we present a new method to generate a 3D face model, based on both Data-Driven and St...
If we are provided a face database with only one example view per person, is it possible to recogn...
This paper addresses tracking and 3D pose estimation of human faces with large pose and expression c...
We propose a framework to reconstruct the 3D pose of a human for animation from a sequence of single...
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a si...
This paper addresses tracking and 3D pose estimation of human faces with large pose and expression c...
Recovery of human pose from videos has become a highly active research area in the last decade becau...
In this thesis we developed new techniques to detect, reconstruct and track human faces from pure im...
This paper presents a fully automatic system that recovers 3D face models from sequences of facial i...
Digital humans play the leading roles in every aspect of the virtual world. In recent years, multi-v...
This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face fro...
peer reviewedEstimating the pose of the observed person is crucial for a large variety of applicatio...
The three-dimensional motion of humans is underdetermined when the observation is limited to a singl...
Best paper runner up awardInternational audienceIn this paper we address the problem of markerless h...
Geometric reconstruction of dynamic objects is a fundamental task of computer vision and graphics, a...
In this paper, we present a new method to generate a 3D face model, based on both Data-Driven and St...
If we are provided a face database with only one example view per person, is it possible to recogn...
This paper addresses tracking and 3D pose estimation of human faces with large pose and expression c...
We propose a framework to reconstruct the 3D pose of a human for animation from a sequence of single...
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a si...
This paper addresses tracking and 3D pose estimation of human faces with large pose and expression c...
Recovery of human pose from videos has become a highly active research area in the last decade becau...