DietCam: Multiview Food Recognition Using a Multikernel SVM

 DietCam: Multiview Food Recognition Using a Multikernel SVM

 Food recognition is a key component in evaluation of everyday food intakes, and its challenge is due to intraclass variation. In this paper, we present an automatic food classification method,DietCam,which specifically addresses the variation of food appearances. DietCam consists of two major components, ingredient detection and food classification. Food ingredients are detected through a combination of a deformable part-based model and a texture verification model.