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CVPR
2007
IEEE
16 years 8 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
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...
Frédo Durand, Sylvain Paris
CVPR
2008
IEEE
16 years 8 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
MICCAI
2003
Springer
16 years 7 months ago
Interactive, GPU-Based Level Sets for 3D Segmentation
While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow ...
Aaron E. Lefohn, Joshua E. Cates, Ross T. Whitaker
ACCV
2009
Springer
16 years 1 months ago
3D Motion Segmentation Using Intensity Trajectory
Motion segmentation is a fundamental aspect of tracking in a scene with multiple moving objects. In this paper we present a novel approach to clustering individual image pixels ass...
Hua Yang, Greg Welch, Jan-Michael Frahm, Marc Poll...
AIME
2001
Springer
15 years 11 months ago
Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation
To cope with the difficulty of MRI brain scans automatic segmentation, we need to constrain and control the selection and the adjustment of processing tools depending on the local ...
Nathalie Richard, Michel Dojat, Catherine Garbay