LOGO LOCALIZATION USING THE DISCREPANCY NORM
Jean-Luc Bouchot, Bernhard Moser · 2010
In this poster, we discuss Hermann Weyl’s discrepancy concept in the context of localization. A novel algorithm is introduced for logo localization in the field of Make and Model Recognition (MMR) for cars. It is shown in particular that combining a good a-priori knowledge with the monotonicity property of the introduced discrepancy norm yields an efficient and reliable logo localization.