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» Invariant Features from Interest Point Groups
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FTCGV
2007
104views more  FTCGV 2007»
13 years 7 months ago
Local Invariant Feature Detectors: A Survey
In this survey, we give an overview of invariant interest point detectors, how they evolved over time, how they work, and what their respective strengths and weaknesses are. We be...
Tinne Tuytelaars, Krystian Mikolajczyk
CORR
2002
Springer
160views Education» more  CORR 2002»
13 years 7 months ago
Structure from Motion: Theoretical Foundations of a Novel Approach Using Custom Built Invariants
We rephrase the problem of 3D reconstruction from images in terms of intersections of projections of orbits of custom built Lie groups actions. We then use an algorithmic method b...
Pierre-Louis Bazin, Mireille Boutin
CORR
2007
Springer
183views Education» more  CORR 2007»
13 years 7 months ago
A complete set of rotationally and translationally invariant features for images
We propose a new set of rotationally and translationally invariant features for image or pattern recognition and classification. The new features are cubic polynomials in the pix...
Risi Imre Kondor
ICCV
1999
IEEE
14 years 9 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
JMLR
2012
11 years 10 months ago
Minimax rates for homology inference
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sh...