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» Monte Carlo Localization Using SIFT Features
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ICIP
2010
IEEE
14 years 7 months ago
Multi-description of local interest point for partial-duplicate image retrieval
In partial-duplicate image retrieval, images are commonly represented using Bag-of-visual-Words (BoW) built from image local features, such as SIFT. Therefore, the discriminative ...
Liang Li, Shuqiang Jiang, Qingming Huang
GEO
2000
14 years 11 months ago
Satisfying Interaction Constraints
: In feature modelling, constraints can be used to store design intent in a model. Interaction constraints are an important type of constraints, which limit the extent to which fea...
Alex Noort, Rafael Bidarra, Willem F. Bronsvoort
67
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ICCV
2007
IEEE
15 years 11 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
CVPR
2012
IEEE
13 years 1 days 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
PAMI
2012
13 years 1 days ago
BRIEF: Computing a Local Binary Descriptor Very Fast
Binary descriptors are becoming increasingly popular as a means to compare feature points very fast and while requiring comparatively small amounts of memory. The typical approach...
Michael Calonder, Vincent Lepetit, Mustafa Öz...