InnerSpec: Technical Report

Fabrizio Guerrini, Alessandro Gnutti, Riccardo Leonardi; Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, pp. 1774-1778

In this report we describe "InnerSpec", an approach for symmetric object detection that is based both on the computation of a symmetry measure for each pixel and on gradient information analysis. The symmetry value is obtained as the energy balance of the even-odd decomposition of an oriented square patch with respect to its central axis. Such an operation is akin to the computation of a row-wise convolution in the midpoint. The candidate symmetry axes are then identified through the localization of peaks along the direction perpendicular to each considered angle. These axes are finally evaluated by computing the image gradient in their neighborhood, in particular checking whether the gradient information displays specular characteristics.