A New Multiresolution Blob Detector Applied to Photogrammetry
نویسندگان
چکیده
Industrial applications of photogrammetry usually involve the detection of targets placed on the surfaces of objects. Typical targets present circular shapes, which under perspective distortion can be well approximated by an elliptical contour. In this paper we present a solution for the detection of circular targets, based on a new technique for radial symmetry detection. At a given scale, radial symmetry is defined as the product of a set of oriented features, so that only regions of space with contributions from all orientations will have strong responses. A multiresolution measure is obtained as the maximum over a set of scales. This operator detects both circular and elliptical regions and presents a sharper point spread function compared to other detectors.
منابع مشابه
A field investigation of application of digital terrestrial photogrammetry to characterize geometric properties of discontinuities in open-pit slopes
In order to analyze the slope stability in open-pit mines, the structural parameters of rock mass such as persistence and spatial orientation of discontinuities are characterized through field surveys, which involve spending high costs and times as well as posing high risks of rock toppling and rock fall. In the present work, a new application of terrestrial digital photogrammetry is introduced...
متن کاملUsing a Novel Concept of Potential Pixel Energy for Object Tracking
Abstract In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...
متن کاملCzech Technical University in Prague Doctoral Thesis Statement
A new salient semantics-less blob detector named the Stable Wave Detector (SWD) is suggested. The detector proved to be particularly very useful in tracking a target in a videosequence. SWD is a multiscale blob detector in the intensity image. The targets are blobs in 2D which correspond to local maxima/minima of the image intensities or positive and negative peaks in 1D. SWD belongs to a group...
متن کاملStable Wave Detector for Precise and Fast Detection of Blobs in the Image
Stable Wave Detector (SWD) is a new multiscale landmark detector in the intensity image. The target landmarks are blobs which correspond to local maxima/minima of intensity (positive and negative peaks). SWD belongs to a group of interestpoint-like operators aiming at detecting repeatedly distinguished entities without considering their semantics. SWD is practically motivated by a 3D natural sc...
متن کاملReduced-Reference Image Quality Assessment based on saliency region extraction
In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...
متن کامل