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ECCV
2008
Springer
14 years 10 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden

Publication
323views
14 years 3 months ago
Estimation of Location Uncertainty for Scale Invariant Feature Points
Image feature points are the basis for numerous computer vision tasks, such as pose estimation or object detection. State of the art algorithms detect features that are invariant t...
Bernhard Zeisl, Pierre Fite Georgel, Florian Schwe...
ICIP
2004
IEEE
14 years 9 months ago
Robust perceptual image hashing using feature points
Perceptual image hashing maps an image to a fixed length binary string based on the image's appearance to the human eye, and has applications in image indexing, authenticatio...
Vishal Monga, Brian L. Evans
CVPR
2007
IEEE
14 years 10 months ago
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau,...
CVPR
2005
IEEE
14 years 10 months ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers