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CVPR
2007
IEEE
14 years 9 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,...
ICETET
2009
IEEE
13 years 5 months ago
Face Description with Local Invariant Features: Application to Face Recognition
A completely automatic face recognition system is presented. The method works on color face images and localizes the face region from them initially. It then determines and select...
Sanjay A. Pardeshi, S. N. Talbar
COST
2007
Springer
95views Multimedia» more  COST 2007»
14 years 1 months ago
On the Use of NonVerbal Speech Sounds in Human Communication
Recent work investigating the interaction of the speech signal with the meaning of the verbal content has revealed interactions not yet modelled in either speech recognition techn...
Nick Campbell
ICCV
2005
IEEE
14 years 28 days ago
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
We present a technique for local image representation that is invariant to viewpoint for scenes with arbitrary non-planar shape. We show that generic viewpoint invariance can be a...
Andrea Vedaldi, Stefano Soatto
ICCV
2005
IEEE
14 years 9 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon