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» Highly Discriminative Invariant FEatures for Image Matching
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CISST
2003
171views Hardware» more  CISST 2003»
15 years 3 months ago
Image Registration and Conflation Based on Structural Characteristics
An approach to conflation/registration of images that does not depend on identifying common points is being developed. It uses the method of algebraic invariants to provide a comm...
Boris Kovalerchuk, William Sumner, James L. Schwin...
CIVR
2005
Springer
169views Image Analysis» more  CIVR 2005»
15 years 7 months ago
An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams
Abstract. We introduce a view–point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on...
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo
ECCV
2010
Springer
15 years 6 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 2 months ago
Profile Based Sub-Image Search in Image Databases
Sub-image search with high accuracy in natural images still remains a challenging problem. This paper proposes a new feature vector called profile for a keypoint in a bag of visual...
Vishwakarma Singh, Ambuj K. Singh
CVPR
2012
IEEE
13 years 4 months 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