372 search results - page 16 / 75 » Learning Location Invariance for Object Recognition and Loca... |
IJCV
2008
14 years 11 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
107
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CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a shape matching algorithm based on the chamfer distance transform which can be easily integrated into the well-known SIFT framework. The shape matching was designed to...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
209
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CRV
2011
IEEE
13 years 11 months ago
2011
IEEE
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...