129 search results - page 18 / 26 » Object Recognition in High Clutter Images Using Line Feature... |
IJCV
2008
14 years 9 months ago
2008
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
109
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PSIVT
2009
Springer
15 years 4 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...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterize...
80
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ECCV
2010
Springer
13 years 3 months ago
2010
Springer
Hough voting methods efficiently handle the high complexity of multiscale,
category-level object detection in cluttered scenes. The primary weakness
of this approach is however t...
ECCV
2010
Springer
15 years 27 days ago
2010
Springer
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...