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» Steering in Scale Space to Optimally Detect Image Structures
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ICCV
2001
IEEE
14 years 9 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
MICCAI
2009
Springer
14 years 8 months ago
Cortical Shape Analysis in the Laplace-Beltrami Feature Space
For the automated analysis of cortical morphometry, it is critical to develop robust descriptions of the position of anatomical structures on the convoluted cortex. Using the eigen...
Yonggang Shi, Ivo D. Dinov, Arthur W. Toga
EVOW
2007
Springer
13 years 11 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague
SCALESPACE
1997
Springer
13 years 11 months ago
Invertible Orientation Bundles on 2D Scalar Images
A general approach for multiscale orientation analysis of 2D scalar images is proposed. A scale-dependent orientation bundle (map of the visual space into function of two arguments...
Stiliyan Kalitzin, Bart M. ter Haar Romeny, Max A....
PAMI
2008
189views more  PAMI 2008»
13 years 7 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...