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ICCV
2001
IEEE
15 years 11 months ago
A Robust Interest Points Matching Algorithm
This paper presents an algorithm that matches interest points detected on a pair of grey level images taken from arbitrary points of view. First matching hypotheses are generated ...
Il-Kyun Jung, Simon Lacroix
ECCV
2002
Springer
15 years 11 months ago
Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring
Abstract. In order to investigate the deep structure of Gaussian scale space images, one needs to understand the behaviour of critical points under the influence of parameter-drive...
Arjan Kuijper, Luc Florack
75
Voted
ICIP
2004
IEEE
15 years 11 months ago
Using multiscale top points in image matching
In this paper we discuss the feasibility of using singular points in a scale space representation (referred to as top points) for image matching purposes. These points are easily ...
Bram Platel, Frans Kanters, Luc Florack, Evguenia ...
68
Voted
CHI
2001
ACM
15 years 10 months ago
Accuracy measures for evaluating computer pointing devices
In view of the difficulties in evaluating computer pointing devices across different tasks within dynamic and complex systems, new performance measures are needed. This paper prop...
I. Scott MacKenzie, Tatu Kauppinen, Miika Silfverb...
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
15 years 4 months ago
Fast Point Feature Histograms (FPFH) for 3D registration
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
Radu Bogdan Rusu, Nico Blodow, Michael Beetz