A new radial symmetry measure applied to photogrammetry
This work presents a new measure for radial symmetry and an algorithm for its computation.
This measure identifies radially symmetric blobs as locations with contributions from all
orientations at some scale. Hence, at a given scale, radial symmetry is computed as the
product of the responses of a set of even symmetric feature detectors, with different
orientations. This operator presents low sensitivity to shapes lacking radial symmetry, is
robust to noise, contrast changes and strong perspective distortions, and shows a narrow …
This measure identifies radially symmetric blobs as locations with contributions from all
orientations at some scale. Hence, at a given scale, radial symmetry is computed as the
product of the responses of a set of even symmetric feature detectors, with different
orientations. This operator presents low sensitivity to shapes lacking radial symmetry, is
robust to noise, contrast changes and strong perspective distortions, and shows a narrow …
A new radial symmetry measure applied to photogrammetry
R Dosil Lago, XM Pardo López, XR Fernández Vidal… - minerva.usc.es
This work presents a new measure for radial symmetry and an algorithm for its computation.
This measure identifies radially symmetric blobs as locations with contributions from all
orientations at some scale. Hence, at a given scale, radial symmetry is computed as the
product of the responses of a set of even symmetric feature detectors, with different
orientations. This operator presents low sensitivity to shapes lacking radial symmetry, is
robust to noise, contrast changes and strong perspective distortions, and shows a narrow …
This measure identifies radially symmetric blobs as locations with contributions from all
orientations at some scale. Hence, at a given scale, radial symmetry is computed as the
product of the responses of a set of even symmetric feature detectors, with different
orientations. This operator presents low sensitivity to shapes lacking radial symmetry, is
robust to noise, contrast changes and strong perspective distortions, and shows a narrow …