Graphs are a powerful and versatile data structure for pattern recognition. However, their flexibility brings inherent complexities for algorithms which seek to create or utilise graphs. In the context of computer vision, many feature detection algorithms can extract a suitable vertex set from an image. The creation of edges between these vertices presents new challenges, and effective methods for edge creation only exist for certain types of vertices such as points and regions. This paper presents a novel method for creating edges for image graphs, while supporting a wide array of vertex types. The presented method is principled, and its robustness is shown experimentally against a number of affine and projective transforms, as well as noi...
We present algorithms to produce Delaunay meshes from arbitrary triangle meshes by edge flipping and...
This thesis addresses the problem in computer vision of deriving continuous contours from a primitiv...
In the task to reconstruct 3D models of room architecture from photographic images, identifying the ...
Graphs are a powerful and versatile data structure for pattern recognition. However, their flexibili...
Abstract: The main idea of graph based image modeling is that the regions of the image, which contai...
International audienceMany image processing and image segmentation problems, in two or three dimensi...
We present an object recognition system based on symbolic graphs with object corners as vertices and...
In this paper, we show that simple edge characteristics in images, when judiciously combined, can re...
An image contains a lot of information, and that information can be used in high-level complex syste...
• Graph-based segmentation algorithm – Similarity between neighboring pixels is encoded as edges.
We describe an object recognition system based on symbolic contour graphs. The im-age to be analyzed...
On the one hand, the solution of computer vision tasks is associated with the development of various...
AbstractA new method for detecting Delaunay edge by modifying the links in the star of a vertex is p...
This book will serve as a foundation for a variety of useful applications of graph theory to compute...
This paper presents a new edge detection algorithm based on calculating the difference value of two ...
We present algorithms to produce Delaunay meshes from arbitrary triangle meshes by edge flipping and...
This thesis addresses the problem in computer vision of deriving continuous contours from a primitiv...
In the task to reconstruct 3D models of room architecture from photographic images, identifying the ...
Graphs are a powerful and versatile data structure for pattern recognition. However, their flexibili...
Abstract: The main idea of graph based image modeling is that the regions of the image, which contai...
International audienceMany image processing and image segmentation problems, in two or three dimensi...
We present an object recognition system based on symbolic graphs with object corners as vertices and...
In this paper, we show that simple edge characteristics in images, when judiciously combined, can re...
An image contains a lot of information, and that information can be used in high-level complex syste...
• Graph-based segmentation algorithm – Similarity between neighboring pixels is encoded as edges.
We describe an object recognition system based on symbolic contour graphs. The im-age to be analyzed...
On the one hand, the solution of computer vision tasks is associated with the development of various...
AbstractA new method for detecting Delaunay edge by modifying the links in the star of a vertex is p...
This book will serve as a foundation for a variety of useful applications of graph theory to compute...
This paper presents a new edge detection algorithm based on calculating the difference value of two ...
We present algorithms to produce Delaunay meshes from arbitrary triangle meshes by edge flipping and...
This thesis addresses the problem in computer vision of deriving continuous contours from a primitiv...
In the task to reconstruct 3D models of room architecture from photographic images, identifying the ...