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» Invariant Image Object Recognition Using Mixture Densities
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113
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DAGM
2006
Springer
15 years 3 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer
CIARP
2007
Springer
15 years 5 months ago
Robust Color Contour Object Detection Invariant to Shadows
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
88
Voted
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
15 years 4 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
ICPR
2008
IEEE
15 years 6 months ago
Linear time recognition algorithms for topological invariants in 3D
In this paper, we design linear time algorithms to recognize and determine topological invariants such as genus and homology groups in 3D. These invariants can be used to identify...
Li Chen, Yongwu Rong
PRL
2007
125views more  PRL 2007»
14 years 11 months ago
Combining color and spatial information for object recognition across illumination changes
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...
Damien Muselet, Ludovic Macaire