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ICPR
2008
IEEE
15 years 4 months ago
Top down image segmentation using congealing and graph-cut
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
IPCV
2007
14 years 11 months ago
Extracting the Major Form Body Segment from Unconstrained Document Images
Abstract In the analysis of any unconstrained document image it is necessary to first decide what the main area of interest is. Previous work has been done on simply removing the ...
John Bunch, Dean Curtis, Christopher Jones, Jia Ts...
77
Voted
ECCV
2004
Springer
16 years 23 hour ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
TOG
2012
230views Communications» more  TOG 2012»
13 years 17 days ago
Decoupling algorithms from schedules for easy optimization of image processing pipelines
Using existing programming tools, writing high-performance image processing code requires sacrificing readability, portability, and modularity. We argue that this is a consequenc...
Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris...
IJCV
2010
194views more  IJCV 2010»
14 years 8 months ago
Extended Phase Field Higher-Order Active Contour Models for Networks - Its Application to Road Network Extraction from VHR Satel
This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i.e. the region in the image corresponding to the entity is composed of bran...
Ting Peng, Ian H. Jermyn, Véronique Prinet,...