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» Using Photometric Invariants for 3D Object Recognition
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CIARP
2007
Springer
15 years 3 months ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CVIU
2004
114views more  CVIU 2004»
14 years 9 months ago
Illumination insensitive recognition using eigenspaces
Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper, we propose how to deal with illumination variations in eigenspace ...
Horst Bischof, Horst Wildenauer, Ales Leonardis
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
CVPR
2006
IEEE
15 years 11 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
CVPR
2011
IEEE
14 years 1 months ago
Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor
A novel local image descriptor is proposed in this paper, which combines intensity orders and gradient distributions in multiple support regions. The novelty lies in three aspects...
Bin Fan, Fuchao Wu, Zhanyi Hu