30 search results - page 2 / 6 » Feature Sensitive Mesh Segmentation with Mean Shift |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In the area of 3D shape analysis, research in mesh segmentation has always been an important topic, as it is a fundamental low-level task which can be utilized in many application...
TOG
2008
13 years 5 months ago
2008
The goal of this paper is to investigate a new shape analysis method based on randomized cuts of 3D surface meshes. The general strategy is to generate a random set of mesh segmen...
ACCV
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...