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
92 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation explores the...
We exploit common information between images to construct data models and background models, and acc...
Abstract – Image segmentation is an important processing step in many image, video and computer vis...
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...
Image segmentation is a central topic in image processing and computer vision and a key issue in man...
Relation between shape representation and segmentation is discussed to make an argument that they ca...
This paper describes a general-purpose method we have developed for automatically segmenting objects...
We propose to teach deformable models to find object boundaries in low-quality images. We will do so...
Automated medical image segmentation is a challenging task that benefits from the use of effective i...
Two foundational and long-standing problems in computer vision are to detect and segment objects in ...
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...
Surfaces in 3D are often represented by polygonal meshes and point clouds obtained from 3D modeling ...
Computer vision is difficult both in problem formulation and in computational methodology. Tradition...
92 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation explores the...
We exploit common information between images to construct data models and background models, and acc...
Abstract – Image segmentation is an important processing step in many image, video and computer vis...
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...
Image segmentation is a central topic in image processing and computer vision and a key issue in man...
Relation between shape representation and segmentation is discussed to make an argument that they ca...
This paper describes a general-purpose method we have developed for automatically segmenting objects...
We propose to teach deformable models to find object boundaries in low-quality images. We will do so...
Automated medical image segmentation is a challenging task that benefits from the use of effective i...
Two foundational and long-standing problems in computer vision are to detect and segment objects in ...
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...
Surfaces in 3D are often represented by polygonal meshes and point clouds obtained from 3D modeling ...
Computer vision is difficult both in problem formulation and in computational methodology. Tradition...
92 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.This dissertation explores the...
We exploit common information between images to construct data models and background models, and acc...
Abstract – Image segmentation is an important processing step in many image, video and computer vis...