A description of a model for accumulating segmentation information over multiple images is presented. The model combines geometric information with segmentation information to improve predicted appearance of objects. An extensive example using polyhedral object representations is described. Statistical results are shown over a set of 40 real images, verifying the underlying assumptions of the segmentation model concerning spatially distributed segmentation information over object edges. Evidence is accumulated in support of the hypothesis that segmentation varies significantly because of the interference between scene objects as well as viewpoint and illumination
International audienceIn this paper, we present a general frame for a system of automatic modelling ...
Deformable models are widely used for image segmentation, most commonly to find single objects withi...
International audienceIn this paper, we investigate the problem of the automatic creation of 3D mode...
A description of a model for accumulating segmentation information over multiple images is presented...
Object segmentation, a fundamental problem in computer vision, remains a challenging task after deca...
This paper describes a general-purpose method we have developed for automatically segmenting objects...
Image segmentation is a central topic in image processing and computer vision and a key issue in man...
We exploit common information between images to construct data models and background models, and acc...
Relation between shape representation and segmentation is discussed to make an argument that they ca...
Existing computer vision systems continue to have difficulty performing basic tasks in complex scene...
number DAAH04-94-G-0006. Views and conclusions contained in this document are those of the author an...
This work address all of the stages required to take a sequence of images of an object and recover a...
Abstract. A novel method for the segmentation of multiple objects from 3D medical images using inter...
Two foundational and long-standing problems in computer vision are to detect and segment objects in ...
We investigate the problem of automatically creating 3D models of man-made environments that we repr...
International audienceIn this paper, we present a general frame for a system of automatic modelling ...
Deformable models are widely used for image segmentation, most commonly to find single objects withi...
International audienceIn this paper, we investigate the problem of the automatic creation of 3D mode...
A description of a model for accumulating segmentation information over multiple images is presented...
Object segmentation, a fundamental problem in computer vision, remains a challenging task after deca...
This paper describes a general-purpose method we have developed for automatically segmenting objects...
Image segmentation is a central topic in image processing and computer vision and a key issue in man...
We exploit common information between images to construct data models and background models, and acc...
Relation between shape representation and segmentation is discussed to make an argument that they ca...
Existing computer vision systems continue to have difficulty performing basic tasks in complex scene...
number DAAH04-94-G-0006. Views and conclusions contained in this document are those of the author an...
This work address all of the stages required to take a sequence of images of an object and recover a...
Abstract. A novel method for the segmentation of multiple objects from 3D medical images using inter...
Two foundational and long-standing problems in computer vision are to detect and segment objects in ...
We investigate the problem of automatically creating 3D models of man-made environments that we repr...
International audienceIn this paper, we present a general frame for a system of automatic modelling ...
Deformable models are widely used for image segmentation, most commonly to find single objects withi...
International audienceIn this paper, we investigate the problem of the automatic creation of 3D mode...