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NIPS
2008
11 years 2 months ago
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from image databases. Examining a large set of manuall...
Erik B. Sudderth, Michael I. Jordan
CVPR
2011
IEEE
10 years 8 months ago
Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
Alex Shyr, Trevor Darrell, Michael Jordan, Raquel ...
ICIP
2009
IEEE
10 years 11 months ago
Text segmentation in natural scenes using Toggle-Mapping
We offer, in this paper, a new method to segment text in natural scenes. This method is based on the use of a morphological operator: the Toggle Mapping. The efficiency of the met...
Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Co...
NIPS
2004
11 years 2 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICIP
2005
IEEE
12 years 3 months ago
Coupled geometric and texture PDE-based segmentation
In this paper, along with recent trends in segmentation using multiple image cues, we examine the integration of modulation texture features, image contrast and region size for de...
Anastasia Sofou, Georgios Evangelopoulos, Petros M...
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