Logotypes detection and other characteristic invariants



The detection of logotypes and invariants inside an image aims to find within an image (or a sequence of images) a new or already known graphical element which pertains to a brand, a company, somebody, etc. Such elements could be found in many real-life pictures but also in advertising pictures. The detection challenge is to compare elements with those which have been already seen but also to set up a machine learning approach in order to determine if there are new logotypes. The integration of such a tool inside the Olena image processing platform and possibly inside the Terra Rush project could lead to a better content indexing and to invalidate specific areas in other processing toolchains. In this report, we will mainly explain a generic method to locate invariants keypoints of an image : the SIFT descriptor.