We propose a deformable surface parameterization that is generic and lets us automatically build registered shape databases. This allows us to directly derive low-dimensional shape models using a simple dimensionality reduction technique. This addresses one of the biggest difficulties in example-based shape modeling: Building the required database, which is often a difficult and painstaking process. We incorporate the resulting models into a monocular tracking system that we use to capture the complex deformations of objects such as sheets of papers or expanding balloons from single video sequences.
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
International audienceThis paper presents a novel intrinsic 3D surface distance and its use in a com...
International audience3D Human shape tracking consists in fitting a template model to temporal seque...
International audiencePrevious approaches to deformable model shape estimation and tracking have ass...
This paper presents a system for efficiently tracking a deformable object in 3D. It is based on a mo...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
We present a technique for constructing shape representation from images using free-form deformable ...
International audienceOur goal in this work is to recover an estimate of an object's surface from a ...
We present an approach to robustly track the geometry of an object that deforms over time from a set...
Deformable 3–D models can be represented either as traditional explicit surfaces, such as trian-gula...
Being able to recover the shape of 3D deformable surfaces from a single video stream would make it p...
We present an approach to robustly track the geometry of an object that deforms over time from a set...
In this paper, we propose a deformable modeling paradigm for 3D shape recovery from visual inputs su...
This paper describes a method for registration and tracking of deformable objects from points clouds...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
International audienceThis paper presents a novel intrinsic 3D surface distance and its use in a com...
International audience3D Human shape tracking consists in fitting a template model to temporal seque...
International audiencePrevious approaches to deformable model shape estimation and tracking have ass...
This paper presents a system for efficiently tracking a deformable object in 3D. It is based on a mo...
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
International audienceThis article proposes a flexible tracker which can estimate motion and deforma...
We present a technique for constructing shape representation from images using free-form deformable ...
International audienceOur goal in this work is to recover an estimate of an object's surface from a ...
We present an approach to robustly track the geometry of an object that deforms over time from a set...
Deformable 3–D models can be represented either as traditional explicit surfaces, such as trian-gula...
Being able to recover the shape of 3D deformable surfaces from a single video stream would make it p...
We present an approach to robustly track the geometry of an object that deforms over time from a set...
In this paper, we propose a deformable modeling paradigm for 3D shape recovery from visual inputs su...
This paper describes a method for registration and tracking of deformable objects from points clouds...
UnrestrictedPeople have been studying shapes since the ancient times, using geometry to model those ...
International audienceThis paper presents a novel intrinsic 3D surface distance and its use in a com...
International audience3D Human shape tracking consists in fitting a template model to temporal seque...