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» Semantic segmentation using regions and parts
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ICIP
2009
IEEE
13 years 5 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
ECCV
2006
Springer
13 years 11 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
13 years 7 months ago
Merging and smoothing machining boundaries on cutter location surfaces
In region machining, neighbouring regions may be close together, but disconnected. Boundary curves may also have unwanted geometric artifacts caused by approximation and discretis...
Weishi Li, Ralph R. Martin, Frank C. Langbein
ICDAR
2003
IEEE
14 years 24 days ago
Evaluating SEE - A Benchmarking System for Document Page Segmentation
The decomposition of a document into segments such as text regions and graphics is a significant part of the document analysis process. The basic requirement for rating and impro...
Stefan Agne, Andreas Dengel, Bertin Klein
DAS
2010
Springer
13 years 7 months ago
A skeleton-based method for multi-oriented video text detection
In this paper, we propose a method based on the skeletonization operation for multi-oriented video text detection. The first step uses our existing Laplacian-based method to ident...
Trung Quy Phan, Palaiahnakote Shivakumara, Chew Li...