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SCALESPACE
2007
Springer
13 years 11 months ago
Combining Different Types of Scale Space Interest Points Using Canonical Sets
Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image recons...
Frans Kanters, Trip Denton, Ali Shokoufandeh, Luc ...
SCALESPACE
2007
Springer
13 years 11 months ago
Scale Spaces on Lie Groups
In the standard scale space approach one obtains a scale space representation u : Rd R+ → R of an image f ∈ L2(Rd ) by means of an evolution equation on the additive group (Rd ...
Remco Duits, Bernhard Burgeth
ICIP
2004
IEEE
14 years 6 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 ...
ECCV
2002
Springer
14 years 6 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
ICCV
2001
IEEE
14 years 6 months ago
Indexing Based on Scale Invariant Interest Points
This paper presents a new method for detecting scale invariant interest points. The method is based on two recent results on scale space: 1) Interest points can be adapted to scal...
Krystian Mikolajczyk, Cordelia Schmid
ICCV
2001
IEEE
14 years 6 months ago
Hierarchical Pre-Segmentation without Prior Knowledge
A new method to pre-segment images by means of a hierarchical description is proposed. This description is obtained from an investigation of the deep structure of a scale space im...
Arjan Kuijper, Luc Florack