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» Robust perceptual image hashing using feature points
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ICPR
2000
IEEE
14 years 8 months ago
Robust Dense Matching Using Local and Global Geometric Constraints
A new robust dense matching algorithm is introduced in this paper. The algorithm starts from matching the most textured points, then a match propagation algorithm is developed wit...
Maxime Lhuillier, Long Quan
CVGIP
2006
163views more  CVGIP 2006»
13 years 7 months ago
SVD-matching using SIFT features
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a versio...
Elisabetta Delponte, Francesco Isgrò, Franc...
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
IROS
2006
IEEE
164views Robotics» more  IROS 2006»
14 years 1 months ago
SLAM using Visual Scan-Matching with Distinguishable 3D Points
— Scan-matching based on data from a laser scanner is frequently used for mapping and localization. This paper presents an scan-matching approach based instead on visual informat...
Federico Bertolli, Patric Jensfelt, Henrik I. Chri...
ICPR
2002
IEEE
14 years 8 months ago
Registration for Stereo Vision-Based Augmented Reality Based on Extendible Tracking of Markers and Natural Features
This paper describes a method to extend the registration range of a vision-based augmented reality (AR) system. We propose to use natural feature points contained in images captur...
Masayuki Kanbara, Naokazu Yokoya, Haruo Takemura