The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Image Corner Detection Through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Signal Processing for Computer Vision
Signal Processing for Computer Vision
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
A New Extension of Linear Signal Processing for Estimating Local Properties and Detecting Features
Mustererkennung 2000, 22. DAGM-Symposium
Scale Adaptive Filtering Derived from the Laplace Equation
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
IEEE Transactions on Signal Processing
Hypercomplex signals-a novel extension of the analytic signal tothe multidimensional case
IEEE Transactions on Signal Processing
Nonlinear image operators for the evaluation of local intrinsic dimensionality
IEEE Transactions on Image Processing
Loglets: generalized quadrature and phase for local spatio-temporal structure estimation
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
A compact harmonic code for early vision based on anisotropic frequency channels
Computer Vision and Image Understanding
Junction and corner detection through the extraction and analysis of line segments
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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Quadrature filters are a well known method of low-level computer vision for estimating certain properties of the signal, as there are local amplitude and local phase. However, 2D quadrature filters suffer from being not rotation invariant. Furthermore, they do not allow to detect truly 2D features as corners and junctions unless they are combined to form the structure tensor. The present paper deals with a new 2D generalization of quadrature filters which is rotation invariant and allows to analyze intrinsically 2D signals. Hence, the new approach can be considered as the union of properties of quadrature filters and of the structure tensor. The proposed method first estimates the local orientation of the signal which is then used for steering some basis filter responses. Certain linear combination of these filter responses are derived which allow to estimate the local isotropy and two perpendicular phases of the signal. The phase model is based on the assumption of an angular band-limitation in the signal. As an application, a simple and efficient point-of-interest operator is presented and it is compared to the Plessey detector.