Directed Search In A 3D Objects Database Using SVM
Michael Elad, Ayellet Tal, Sigal Ar · 2000
3D objects, search in databases, moments, support vector machine, quadratic programming This paper introduces a content-based search algorithm for a database of 3D objects. The search is performed by giving an example object, and looking for similar ones in the database. The search system result is given as several nearest neighbor objects. The weighted Euclidean distance between a sequence of normalized moments is used to measure the similarity between objects. The moments are estimated based on uniformly distributed random generation of 3D points on the objects' surface.