A food image recognition system with Multiple Kernel Learning

Since health care on foods is drawing people's attention recently, a system that can record everyday meals easily is being awaited. In this paper, we propose an automatic food image recognition system for recording people's eating habits. In the proposed system, we use the Multiple Kernel Learning (MKL) method to integrate several kinds of image features such as color, texture and SIFT adaptively. MKL enables to estimate optimal weights to combine image features for each category. In addition, we implemented a prototype system to recognize food images taken by cellular-phone cameras. In

• Type: Journal
• Year: 2009
• Where: ICIP
• Authors: Taichi Joutou, Keiji Yanai
• Keywords: Food Image Recognition, Food Images, ICIP 2009, Image Processing, Images