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» Modelling perception using image processing algorithms
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145
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PAMI
2008
137views more  PAMI 2008»
15 years 2 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
105
Voted
TIP
1998
99views more  TIP 1998»
15 years 2 months ago
Nonlinear image estimation using piecewise and local image models
—We introduce a new approach to image estimation based on a flexible constraint framework that encapsulates meaningful structural image assumptions. Piecewise image models (PIMâ...
Scott T. Acton, Alan C. Bovik
119
Voted
ICIP
2007
IEEE
16 years 4 months ago
Virtual Mirror: Real-Time Tracking of Shoes in Augmented Reality Environments
In this paper, we present a system that enhances the visualization of customized sports shoes using augmented reality techniques. Instead of viewing yourself in a real mirror, sop...
Jürgen Rurainsky, Peter Eisert, Philipp Fecht...
140
Voted
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
15 years 8 months ago
Video Database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator
The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many informatio...
Na Zhao, Shu-Ching Chen, Mei-Ling Shyu
150
Voted
ICIP
2009
IEEE
15 years 11 days ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...