343 search results - page 5 / 69 » Mercer Kernels for Object Recognition with Local Features |
170
Voted
PSIVT
2009
Springer
15 years 10 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
150
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
168
Voted
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
141
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ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
132
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AAAI
2008
15 years 6 months ago
2008
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...