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» Image matching using local symmetry features
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AVSS
2007
IEEE
14 years 3 months ago
Face localization by neural networks trained with Zernike moments and Eigenfaces feature vectors. A comparison
Face localization using neural network is presented in this communication. Neural network was trained with two different kinds of feature parameters vectors; Zernike moments and E...
Mohammed Saaidia, Anis Chaari, Sylvie Lelandais, V...
ICIAR
2009
Springer
14 years 3 months ago
Scale Invariant Feature Transform with Irregular Orientation Histogram Binning
The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice becau...
Yan Cui, Nils Hasler, Thorsten Thormählen, Ha...
ICIP
2008
IEEE
14 years 11 months ago
Image registration using Adaptive Polar Transform
Image registration is an essential step in many image processing applications that need visual information from multiple images for comparison, integration or analysis. Recently r...
Rittavee Matungka, Yuan F. Zheng, Robert L. Ewing
ICIP
2009
IEEE
14 years 10 months ago
Segmentation Using The Edge Strength Function As A Shape Prior Within A Local Deformation Model
This paper presents a new image segmentation framework which employs a shape prior in the form of an edge strength function to introduce a higher-level influence on the segmentati...
CIVR
2006
Springer
129views Image Analysis» more  CIVR 2006»
14 years 28 days ago
Retrieving Objects Using Local Integral Invariants
The use of local features in computer vision has shown to be promising. Local features have several advantages including invariance to image transformations, independence of the ba...
Alaa Halawani, Hashem Tamimi