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DAGM
2005
Springer
14 years 18 days ago
Spiders as Robust Point Descriptors
This paper introduces a new operator to characterize a point in an image in a distinctive and invariant way. The robust recognition of points is a key technique in computer vision:...
Adam Stanski, Olaf Hellwich
ECCV
2008
Springer
13 years 8 months ago
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor
Extraction and matching of discriminative feature points in images is an important problem in computer vision with applications in image classification, object recognition, mosaici...
Raj Gupta, Anurag Mittal
BMVC
2002
13 years 9 months ago
Component-based LDA Face Descriptor for Image Retrieval
We present a component-based face descriptor with LDA (Linear Discriminant Analysis) and a simple pose classification. Our algorithm has been developed to deal with face image ret...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
TIP
2010
166views more  TIP 2010»
13 years 5 months ago
Blurred Image Recognition by Legendre Moment Invariants
—Processing blurred images is a key problem in many image applications. Existing methods to obtain blur invariants which are invariant with respect to centrally symmetric blur ar...
Hui Zhang, Huazhong Shu, Guo-Niu Han, Gouenou Coat...
ICCV
2007
IEEE
14 years 9 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder