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» Iterative MAP and ML Estimations for Image Segmentation
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CAIP
2003
Springer
202views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Modeling Adaptive Deformations during Free-Form Pose Estimation
In this article we discuss the 2D-3D pose estimation problem of deformable 3D free-form contours. In our scenario we observe objects of any 3D shape in an image of a calibrated cam...
Bodo Rosenhahn, Christian Perwass, Gerald Sommer
IPMI
2003
Springer
14 years 1 months ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
CVPR
2009
IEEE
15 years 3 months ago
Intrinsic Mean Shift for Clustering on Stiefel and Grassmann Manifolds
The mean shift algorithm, which is a nonparametric density estimator for detecting the modes of a distribution on a Euclidean space, was recently extended to operate on analytic ...
Hasan Ertan Çetingül, René Vida...
CVPR
2005
IEEE
14 years 10 months ago
Parameter Estimation for MRF Stereo
This paper presents a novel approach for estimating parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterior (MAP...
Li Zhang, Steven M. Seitz
PAMI
2008
137views more  PAMI 2008»
13 years 7 months ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi