MICCAI
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content t...
ICPR
2008
IEEE
15 years 1 months ago
2008
IEEE
In this paper, we propose a method of object recognition and segmentation using Scale-Invariant Feature Transform (SIFT) and Graph Cuts. SIFT feature is invariant for rotations, s...
ICPR
2008
IEEE
15 years 1 months ago
2008
IEEE
Interactive graph cuts are widely used in object segmentation but with some disadvantages: 1) Manual interactions may cause inaccurate or even incorrect segmentation results and i...
ECCV
2002
Springer
15 years 2 months ago
2002
Springer
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
ICCV
2001
IEEE
15 years 2 months ago
2001
IEEE
Several new algorithms for visual correspondence based on graph cuts [6, 13, 16] have recently been developed. While these methods give very strong results in practice, they do no...
ICCV
2003
IEEE
15 years 2 months ago
2003
IEEE
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
ICCV
2003
IEEE
15 years 2 months ago
2003
IEEE
We address visual correspondence problems without assuming that scene points have similar intensities in different views.This situation is common, usually due to non-lambertian sc...
ICCV
2003
IEEE
15 years 2 months ago
2003
IEEE
ICCV
2005
IEEE
15 years 2 months ago
2005
IEEE
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...