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SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
15 years 2 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
CVPR
2012
IEEE
12 years 12 months ago
Image matching using local symmetry features
We present a new technique for extracting local features from images of architectural scenes, based on detecting and representing local symmetries. These new features are motivate...
Daniel Cabrini Hauagge, Noah Snavely
ICCV
2005
IEEE
15 years 3 months ago
Registration of Multimodal Fluorescein Images Sequence of the Retina
In this study we present a Y-feature extraction method for registering color and fluorescein angiograms of the retina. The registration of multimodal fluorescein imagery requires ...
Tae Eun Choe, Isaac Cohen
ESANN
2006
14 years 10 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner
90
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Compression of image patches for local feature extraction
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....