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» Object Recognition Using Segmentation for Feature Detection
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ICIP
2010
IEEE
15 years 4 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
DAS
2008
Springer
15 years 8 months ago
A Complete Optical Character Recognition Methodology for Historical Documents
In this paper a complete OCR methodology for recognizing historical documents, either printed or handwritten without any knowledge of the font, is presented. This methodology cons...
Georgios Vamvakas, Basilios Gatos, Nikolaos Stamat...
CVPR
2012
IEEE
13 years 9 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
137
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MMM
2009
Springer
123views Multimedia» more  MMM 2009»
16 years 3 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
IBPRIA
2007
Springer
15 years 8 months ago
Segmentation of Rigid Motion from Non-rigid 2D Trajectories
Abstract. In this paper we evaluate an automatic segmentation algorithm able to identify the set of rigidly moving points within a deformable object given the 2D measurements acqui...
Alessio Del Bue, Xavier Lladó, Lourdes de A...