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» Image segmentation in a kernel-induced space
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115
Voted
CVPR
2011
IEEE
14 years 4 months ago
Entropy Rate Superpixel Segmentation
We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term....
Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Ram...
100
Voted
ACCV
2007
Springer
15 years 6 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
81
Voted
DAS
2008
Springer
15 years 2 months ago
Truthing for Pixel-Accurate Segmentation
We discuss problems in developing policies for ground truthing document images for pixel-accurate segmentation. First, we describe ground truthing policies that apply to four diff...
Michael A. Moll, Henry S. Baird, Chang An
112
Voted
ICCV
2007
IEEE
16 years 2 months ago
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
Reliable segmentation of the left ventricle is a long sought objective in medical imaging for automatic retrieval of anatomical and pathological measurements and detection of malf...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
95
Voted
SCALESPACE
2007
Springer
15 years 6 months ago
Towards Segmentation Based on a Shape Prior Manifold
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
Patrick Etyngier, Renaud Keriven, Jean-Philippe Po...