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» SIFT-Rank: Ordinal Description for Invariant Feature Corresp...
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CVPR
2009
IEEE
16 years 5 months ago
SIFT-Rank: Ordinal Description for Invariant Feature Correspondence
This paper investigates ordinal image description for invariant feature correspondence. Ordinal description is a meta-technique which considers image measurements in terms of th...
Matthew Toews, William M. Wells III
ICCV
2011
IEEE
13 years 10 months ago
Local Intensity Order Pattern for Feature Description
This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal i...
Zhenhua Wang, Bin Fan, Fuchao Wu
CVPR
2010
IEEE
15 years 6 months ago
Posture Invariant Surface Description and Feature Extraction
We propose a posture invariant surface descriptor for triangular meshes. Using intrinsic geometry, the surface is first transformed into a representation that is independent of t...
Stefanie Wuhrer, Zouhour Ben Azouz, Chang Shu
ICIP
2006
IEEE
16 years 2 days ago
A Robust Method for the Estimation of Reliable Wide Baseline Correspondences
In this paper we present a complete method to retrieve reliable correspondences among wide baseline images, that is images of the same scene/object acquired from very different vi...
Francesco Colletto, Marco Marcon, Augusto Sarti, S...
ECCV
2008
Springer
16 years 9 days ago
Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences
Abstract. We present a refined method for rotation estimation of signals on the 2-Sphere. Our approach utilizes a fast correlation in the harmonic domain to estimate rotation angle...
Janis Fehr, Marco Reisert, Hans Burkhardt