Displayed object recognition for smartphone interaction

Karim Kadar, François de Sorbier, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013
PublisherMVA Organization
Pages105-108
Number of pages4
ISBN (Print)9784901122139
Publication statusPublished - 2013 Jan 1
Event13th IAPR International Conference on Machine Vision Applications, MVA 2013 - Kyoto, Japan
Duration: 2013 May 202013 May 23

Publication series

NameProceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013

Conference

Conference13th IAPR International Conference on Machine Vision Applications, MVA 2013
CountryJapan
CityKyoto
Period13/5/2013/5/23

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • Cite this

    Kadar, K., de Sorbier, F., & Saito, H. (2013). Displayed object recognition for smartphone interaction. In Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013 (pp. 105-108). (Proceedings of the 13th IAPR International Conference on Machine Vision Applications, MVA 2013). MVA Organization.