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CVPR
2005
IEEE
10 years 11 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
ICCV
1999
IEEE
10 years 11 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
ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
10 years 4 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
ICPR
2004
IEEE
10 years 10 months ago
Global Localization and Relative Pose Estimation Based on Scale-Invariant Features
The capability of maintaining the pose of the mobile robot is central for basic navigation and map building tasks. In this paper we describe a vision-based hybrid localization sch...
Jana Kosecka, Xiaolong Yang
CVPR
2005
IEEE
10 years 11 months ago
Multi-Image Matching Using Multi-Scale Oriented Patches
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
Matthew Brown, Richard Szeliski, Simon A. J. Winde...
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