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CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
15 years 5 days ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
ICIP
2005
IEEE
16 years 5 months ago
Comparison of invariant descriptors for object recognition
This paper deals with the performance evaluation of three object invariant descriptors : Hu moments, Zernike moments and Fourier-Mellin descriptors. Experiments are conducted on a...
Anant Choksuriwong, Bruno Emile, Hélè...
ICCV
2009
IEEE
16 years 9 months ago
What is the Best Multi-Stage Architecture for Object Recognition?
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...
BMVC
2002
15 years 6 months ago
A comparative study of two object recognition methods
An experimental comparative study between two representation methods for the recognition of 3D objects from a 2D view is carried out. The two methods compared are our ARG region-b...
Alireza Ahmadyfard, Josef Kittler
CVPR
2008
IEEE
15 years 10 months ago
Evaluation of color descriptors for object and scene recognition
Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used. To increas...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...