The Mobile Visual Search Guiding System Based on SIFT

Abstract

In order to provide personal guiding service to visitors in the Picture Gallery, a mobile visual search guiding system based on SIFT(Scale Invariant Feature Transform) is proposed in this paper. The visitors can achieve the paintings’ information using the camera function of the mobile phones when they enjoy the famous paintings in the Picture Gallery. The mobile search visual system proposed in this paper can identify the paintings in the server side so there are no extra performance requirements for the mobile phones. Firstly, the mobile visual search system was introduced. Then the system was designed and realized. The classification training was based on SVM (Support Vector Machine). The SIFT feature extraction algorithm was used to enhance the recognition rate. After the image retrieval, the geometric consistency check was employed to choose the best matching image. Finally, the experimental results verified the feasibility and practicability of this system. Compared with the present guiding systems, this system can communicate with the visitors conveniently and offer abundant and all-around information to the visitors. In addition, using this guiding system, any auxiliary devices are not needed to be installed in the Picture Gallery.