Appearance-based 3D object approach to human ears recognition

Abstract

The paper presents an approach for recognition of 3D objects using a database (DB) of precedents. Each object of interest for recognition is presented in the DB through a sufficient number of 2D projections (images), each from a different view point. If it is available a CBIR method to access the DB that is to be fast enough and noise resistant, the number of necessary view positions for each 3D object can be substantially reduced, for example, to several tens or a few hundreds of images. The authors have already applied successfully this appearance- based approach two times: i) for recognition of palm signs from a sign language alphabet and ii) for human face recognition. The recent advance in 3D scanning technologies allow to fresh up the training phase of the proposed method, i.e. the DB gathering of the necessary appearance of precedents for 3D objects, now more accurately and simply. At the same time, the true recognition remains based on images from conventional 2D cameras. This study aims to experiment the mentioned approach for the case of human ears recognition, which, according to our research is of interest to the guild on Biometrics, in the country, in Europe and worldwide.