343 search results - page 5 / 69 » Mercer Kernels for Object Recognition with Local Features |
262
click to vote
PSIVT
2009
Springer
16 years 1 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...
208
click to vote
ICCV
2007
IEEE
16 years 9 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...
245
click to vote
ECCV
2010
Springer
15 years 7 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 ...
208
click to vote
ICPR
2008
IEEE
16 years 8 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...
207
Voted
AAAI
2008
15 years 9 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...