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» Image Segmentation - A Survey of Soft Computing Approaches
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ICIP
2008
IEEE
15 years 11 months ago
Multi-object tracking using binary masks
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to dea...
Sami Huttunen, Janne Heikkilä
DAGM
2010
Springer
15 years 1 months ago
A Model-Based Approach to the Segmentation of Nasal Cavity and Paranasal Sinus Boundaries
We present a model-driven approach to the segmentation of nasal cavity and paranasal sinus boundaries. Based on computed tomography data of a patients head, our approach aims to ex...
Carsten Last, Simon Winkelbach, Friedrich M. Wahl,...
CVPR
2005
IEEE
16 years 6 months ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
CVPR
2007
IEEE
16 years 6 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...
CVPR
2010
IEEE
1090views Computer Vision» more  CVPR 2010»
16 years 16 days ago
AAM based Face Tracking with Temporal Matching and Face Segmentation
Active Appearance Model (AAM) based face tracking has advantages of accurate alignment, high efficiency, and effectiveness for handling face deformation. However, AAM suffers fro...
Lin Liang