EDGELET TRACKING USING GAUSS-LAGUERRE CIRCULAR HARMONIC FILTERS

The paper presents a novel area-based technique aimed to the accurate subpixel estimation of straight lines, whose central and innovative aspect is represented by the minimization of an error function comprising a conveniently weighted version of the image response to the Gauss-Laguerre Circular Harmonic filter (1,0), which presents a high selectivity on border features. The paper presents a wide set of results, obtained in different contexts like highly noisy images and fast visual tracking, which confirm the robustness of the proposed technique and suggest its applicability as basic block in any application which could potentially benefit from the availability of accurate localization of long straight segments or short edgelet features.