A more general definition of features such as edges, shadows and bars is developed, based on an analysis of the phase of the harmonic components. These features always occur at points of maximum phase congruency, the type of feature depending on the value of the phase. Using the image itself and its Hilbert transform, a local energy function is defined and it is shown that the local maxima of this energy function occur at points of maximum phase congruency
Abstract. There are many applications such as stereo matching, motion tracking and image registratio...
The detection and classification of local structures (i.e. edges, corners, and T-Junctions) in color...
A novel feature selection strategy to improve the recognition accuracy on the faces that are affecte...
Edges and lines carry much information about images and many models have been developed to explain h...
While the primary purpose of edge detection schemes is to be able to produce an edge map of a given ...
We observe that the local energy is the pre-envelope for analytic function. The maxima and phase of ...
The ability to detect surfaces within confocal microscope images is important for the interpretation...
Rich descriptions of local image structures are important for higher-level understanding of images i...
We propose a novel technique for detecting rotation- and scale-invariant interest points from the lo...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
Finding correspondent feature points represents a challenge for many decades and has involved a lot ...
The symmetries in a neighbourhood of a gray value image are modelled by con-jugate harmonic function...
abstract: The detection and characterization of transients in signals is important in many wide-rang...
Illumination-invariant method for computing local feature points and descriptors, referred to as LUm...
Energy-based models are a powerful and flexible tool for studying emergent properties in systems wit...
Abstract. There are many applications such as stereo matching, motion tracking and image registratio...
The detection and classification of local structures (i.e. edges, corners, and T-Junctions) in color...
A novel feature selection strategy to improve the recognition accuracy on the faces that are affecte...
Edges and lines carry much information about images and many models have been developed to explain h...
While the primary purpose of edge detection schemes is to be able to produce an edge map of a given ...
We observe that the local energy is the pre-envelope for analytic function. The maxima and phase of ...
The ability to detect surfaces within confocal microscope images is important for the interpretation...
Rich descriptions of local image structures are important for higher-level understanding of images i...
We propose a novel technique for detecting rotation- and scale-invariant interest points from the lo...
The symmetries in a neighbourhood of a gray value image are modelled by conjugate harmonic function ...
Finding correspondent feature points represents a challenge for many decades and has involved a lot ...
The symmetries in a neighbourhood of a gray value image are modelled by con-jugate harmonic function...
abstract: The detection and characterization of transients in signals is important in many wide-rang...
Illumination-invariant method for computing local feature points and descriptors, referred to as LUm...
Energy-based models are a powerful and flexible tool for studying emergent properties in systems wit...
Abstract. There are many applications such as stereo matching, motion tracking and image registratio...
The detection and classification of local structures (i.e. edges, corners, and T-Junctions) in color...
A novel feature selection strategy to improve the recognition accuracy on the faces that are affecte...