Shape measurement using LIP-signature

摘要

A novel approach is proposed for orientation measurement and shape representation by exploiting some beneficial invariant geometric properties in the projection space. It is based on the introduction of a new shape signature (LIP-signature) which is invariant to additive noise, non-linear deformations, and geometric transformations such as rotation, scaling and translation (RST transformations). The proposed shape signature contains meaningful geometric information that can be easily exploited for a unifying approach of orientation/linearity measurement by detecting the possible orientation and the orientation merit of a given shape. In addition, a simple yet effective shape descriptor is also introduced by taking into account the beneficial properties of LIP-signature. Our methods can be directly applied to complex shapes composed of several closed contours or to degraded shapes being affected by additive noise, occlusion or other non-linear deformations. Different experiments validate the interest of the proposed approach.