Uniqueness of the Gaussian Kernel for Scale-Space Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A self-similar stack model for human and machine vision
Biological Cybernetics
Representation of local geometry in the visual system
Biological Cybernetics
Computer Vision, Graphics, and Image Processing
A Hitherto Unnoticed Singularity of Scale-Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Edge and Line Feature Extraction Based on Covariance Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Generic Bilinear Calibration-Estimation Problem
International Journal of Computer Vision
A hierarchical filter scheme for efficient corner detection
Pattern Recognition Letters
Linear Scale-Space Theory from Physical Principles
Journal of Mathematical Imaging and Vision
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
The Structure of Locally Orderless Images
International Journal of Computer Vision
Local Scale Selection for Gaussian Based Description Techniques
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Self-Similarity of Noise in Scale-Space
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Histograms of Infinitesimal Neighbourhoods
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Features in Scale Space: Progress on the 2D 2nd Order Jet
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses
Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Empirically Convergent Adaptive Estimation of Grayvalue Structure Tensors
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A Probabilistic Sensor for the Perception and Recognition of Activities
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Rotated Wedge Averaging Method for Junction Classification
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
On the Influence of Scale Selection on Feature Detection for the Case of Linelike Structures
International Journal of Computer Vision
Color texture measurement and segmentation
Signal Processing - Special section on content-based image and video retrieval
International Journal of Computer Vision
Scale-Space Image Analysis Based on Hermite Polynomials Theory
International Journal of Computer Vision
Hypotheses for Image Features, Icons and Textons
International Journal of Computer Vision
The hermite transform: a survey
EURASIP Journal on Applied Signal Processing
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Computers and Electrical Engineering
Improving the SIFT descriptor with smooth derivative filters
Pattern Recognition Letters
Image and Vision Computing
Basic Image Features (BIFs) Arising from Approximate Symmetry Type
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Palmprint Recognition Based on Regional Rank Correlation of Directional Features
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Fitting models to distributed representations of vision
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Fast detection of convergence areas in digital breast tomosynthesis
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Scale-space image analysis based on Hermite polynomials theory
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Interest point detection and scale selection in space-time
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Computation of generic features for object classification
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Maximum likelihood orientation estimation of 1-D patterns in laguerre-gauss subspaces
IEEE Transactions on Image Processing
Shape from focus using fast discrete curvelet transform
Pattern Recognition
Journal of Mathematical Imaging and Vision
Automation of hessian-based tubularity measure response function in 3D biomedical images
Journal of Biomedical Imaging - Special issue on modern mathematics in biomedical imaging
A differential model of the complex cell
Neural Computation
Computer Vision and Image Understanding
Image features and the 1-D, 2nd
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Optical flow estimation in cardiac CT images using the steered Hermite transform
Image Communication
Full length article: Singular integrals, scale-space and wavelet transforms
Journal of Approximation Theory
| Hi-index | 0.14 |
A method that treats linear neighborhood operators within a unified framework that enables linear combinations, concatenations, resolution changes, or rotations of operators to be treated in a canonical manner is presented. Various families of operators with special kinds of symmetries (such as translation, rotation, magnification) are explicitly constructed in 1-D, 2-D, and 3-D. A concept of 'order' is defined, and finite orthonormal bases of functions closely connected with the operators of various orders are constructed. Linear transformations between the various representations are considered. The method is based on two fundamental assumptions: a decrease of resolution should not introduce spurious detail, and the local operators should be self-similar under changes of resolution. These assumptions merely sum up the even more general need for homogeneity isotropy, scale invariance, and separability of independent dimensions of front-end processing in the absence of a priori information.