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» Highly Discriminative Invariant FEatures for Image Matching
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IPCV
2008
13 years 6 months ago
Content Based Retrieval System for Archaeological Images
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...
Akshay Asthana, Ranjan Dutta, Anshul Jain, Deepak ...
ECCV
2006
Springer
14 years 6 months ago
Top-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well ...
Bram Platel, Evguenia Balmachnova, Luc Florack, Ba...
SCIA
2005
Springer
182views Image Analysis» more  SCIA 2005»
13 years 10 months ago
Complex Correlation Statistic for Dense Stereoscopic Matching
A traditional solution of area-based stereo uses some kind of windowed pixel intensity correlation. This approach suffers from discretization artifacts which corrupt the correlat...
Jan Cech, Radim Sára
ICCV
2007
IEEE
14 years 6 months ago
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis
ECCV
2008
Springer
13 years 6 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