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» Object Recognition Using Segmentation for Feature Detection
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ICRA
2006
IEEE
128views Robotics» more  ICRA 2006»
15 years 8 months ago
Probabilistic Location Recognition using Reduced Feature Set
Abstract— The localization capability is central to basic navigation tasks and motivates development of various visual navigation systems. In this paper we describe a two stage a...
Fayin Li, Jana Kosecka
DAGM
2005
Springer
15 years 8 months ago
Improving a Discriminative Approach to Object Recognition Using Image Patches
In this paper we extend a method that uses image patch histograms and discriminative training to recognize objects in cluttered scenes. The method generalizes and performs well for...
Thomas Deselaers, Daniel Keysers, Hermann Ney
ICASSP
2009
IEEE
15 years 9 months ago
Compression of image patches for local feature extraction
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....
ACIVS
2007
Springer
15 years 8 months ago
Grass Detection for Picture Quality Enhancement of TV Video
Current image enhancement in televisions can be improved if the image is analyzed, objects of interest are segmented, and each segment is processed with specifically optimized alg...
Bahman Zafarifar, Peter H. N. de With
ICIAP
1999
ACM
15 years 6 months ago
Multiresolution Object-of-Interest Detection for Images with Low Depth of Field
This paper describes a novel multiresolution image segmentation algorithm for separating sharply focused objects-of-interest from other foreground or background objects in low dep...
Jia Li, James Ze Wang, Robert M. Gray, Gio Wiederh...