The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tracking and factorization have inspired and motivated many important algorithms in structure from motion, 3D reconstruction and modeling. We then revisit the recent quasi-dense approach to structure from motion. The key advantage of the quasi-dense approach is that it not only delivers the structure from motion in a robust manner for practical modeling purposes, but also it provides a cloud of sufficiently dense 3D points that allows the objects to be explicitly modeled. To structure the available 3D points and registered 2D image information, we argue that a joint s...
A joint segmentation is a simultaneous segmentation of registered 2D images and 3D points reconstruc...
This paper proposes a new framework for image segmentation based on the integration of MRFs and defo...
In this paper we adress the problem of extracting geometric objekts from 2D and 3D datasets, given a...
Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed probl...
Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed probl...
We present a novel optimisation framework for the estimation of the multi-body motion segmentation a...
The aim of this thesis is to provide methods for 2D segmentation and 2D/3D tracking, that are both f...
We present a novel framework for motion segmentation that combines the concepts of layer-based metho...
This paper presents the integration of 3D shape knowledge into a variational model for level set bas...
We propose a novel framework for joint 2D segmentation and 3D pose and 3D shape recovery, for images...
A probabilistic geometric model for 2D image line segments is first presented. We then propose a met...
In this article we present anoverview of factorization methods for recovering structure and motion f...
Abstract. A novel method for the segmentation of multiple objects from 3D medical images using inter...
We present a new integrated approach to the two-dimensional part segmentation, shape and motion esti...
This work address all of the stages required to take a sequence of images of an object and recover a...
A joint segmentation is a simultaneous segmentation of registered 2D images and 3D points reconstruc...
This paper proposes a new framework for image segmentation based on the integration of MRFs and defo...
In this paper we adress the problem of extracting geometric objekts from 2D and 3D datasets, given a...
Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed probl...
Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed probl...
We present a novel optimisation framework for the estimation of the multi-body motion segmentation a...
The aim of this thesis is to provide methods for 2D segmentation and 2D/3D tracking, that are both f...
We present a novel framework for motion segmentation that combines the concepts of layer-based metho...
This paper presents the integration of 3D shape knowledge into a variational model for level set bas...
We propose a novel framework for joint 2D segmentation and 3D pose and 3D shape recovery, for images...
A probabilistic geometric model for 2D image line segments is first presented. We then propose a met...
In this article we present anoverview of factorization methods for recovering structure and motion f...
Abstract. A novel method for the segmentation of multiple objects from 3D medical images using inter...
We present a new integrated approach to the two-dimensional part segmentation, shape and motion esti...
This work address all of the stages required to take a sequence of images of an object and recover a...
A joint segmentation is a simultaneous segmentation of registered 2D images and 3D points reconstruc...
This paper proposes a new framework for image segmentation based on the integration of MRFs and defo...
In this paper we adress the problem of extracting geometric objekts from 2D and 3D datasets, given a...