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» Image matching based on a local invariant descriptor
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ICPR
2008
IEEE
14 years 2 months ago
Recognition of blurred faces using Local Phase Quantization
In this paper, recognition of blurred faces using the recently introduced Local Phase Quantization (LPQ) operator is proposed. LPQ is based on quantizing the Fourier transform pha...
Timo Ahonen, Esa Rahtu, Ville Ojansivu, Janne Heik...
ICPR
2008
IEEE
14 years 9 months ago
A local descriptor for finding corresponding points in vector fields
Vector fields may come from video data (via optical flow and tracking), from weather phenomena (e.g., wind speed and direction), and from medical imaging. An important component i...
H. Quynh Dinh, Liefei Xu
INFORMATICALT
2008
139views more  INFORMATICALT 2008»
13 years 7 months ago
Fingerprint Minutiae Matching without Global Alignment Using Local Structures
This paper presents a method of minutiae based fingerprint matching that is robust to deformations and does not do fingerprint alignment. It concentrates on comparing rotation and ...
Andrej Kisel, Alexej Kochetkov, Justas Kranauskas
ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
14 years 1 months ago
Robust Contrast Invariant Stereo Correspondence
— A stereo pair of cameras attached to a robot will inevitably yield images with different contrast. Even if we assume that the camera hardware is identical, due to slightly diff...
Abhijit S. Ogale, Yiannis Aloimonos
ITCC
2005
IEEE
14 years 1 months ago
A Comparative Study of Three Moment-Based Shape Descriptors
Shape is one of the fundamental visual features in the Content-based Image Retrieval (CBIR) paradigm. Numerous shape descriptors have been proposed in the literature. These can be...
M. Emre Celebi, Y. Alp Aslandogan