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» Fractal Transforms and Feature Invariance
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ICASSP
2010
IEEE
13 years 9 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduc...
Arunan Ramalingam, Sridhar Krishnan
CVPR
2008
IEEE
14 years 11 months ago
3D model matching with Viewpoint-Invariant Patches (VIP)
The robust alignment of images and scenes seen from widely different viewpoints is an important challenge for camera and scene reconstruction. This paper introduces a novel class ...
Changchang Wu, Brian Clipp, Xiaowei Li, Jan-Michae...
ICIP
2010
IEEE
13 years 7 months ago
Comparison of local feature descriptors for mobile visual search
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabr...
IJCV
2010
165views more  IJCV 2010»
13 years 7 months ago
Shape-based Invariant Texture Indexing
This paper introduces a new texture analysis scheme, which is invariant to local geometric and radiometric changes. The proposed methodology relies on the topographic map of images...
Gui-Song Xia, Julie Delon, Yann Gousseau