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» Object Recognition Using Segmentation for Feature Detection
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IJPRAI
2002
97views more  IJPRAI 2002»
15 years 6 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
ISM
2006
IEEE
209views Multimedia» more  ISM 2006»
16 years 15 days ago
Holistic Comparison of Text Images for Content-Based Retrieval
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
Julinda Gllavata, Ermir Qeli, Bernd Freisleben
AR
2011
15 years 1 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
TMI
2010
128views more  TMI 2010»
15 years 4 months ago
Segmentation of the Outer Vessel Wall of the Common Carotid Artery in CTA
—A novel method is presented for carotid artery vessel wall segmentation in computed tomography angiography (CTA) data. First the carotid lumen is semi-automatically segmented us...
Danijela Vukadinovic, Theo van Walsum, Rashindra M...
ACCV
1998
Springer
15 years 10 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa