Displayed Object Recognition for Smartphone Interaction

نویسندگان

  • Karim Kadar
  • François de Sorbier
  • Hideo Saito
چکیده

In the last few years, communication between man and virtual world has been made easier with the apparition of smartphones. This paper presents a method allowing a smartphone user to recognize from any viewpoint a 3D model displayed on a screen. The model is selected from a 190 objects database and displayed rotating along the vertical axis. This method can be used to allow interaction with the recognized model on the smartphone or to retrieve information about the object. Curvature scale space based contour recognition and color matching are used to identify the captured object. Evaluation experiments show a recognition success rate of 92% on a one hundred photographs data set.

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تاریخ انتشار 2013