Rotated object recognition based on corner feature points for mobile augmented reality applications

Dae Hwan Kim, Hyeon Sub Jung, Chung Pyo Hong, Cheong Ghil Kim, Shin Dug Kim

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

1 Citation (Scopus)

Abstract

Object recognition technology has been a major issue in mobile environments. However, it is difficult to recognize any object on mobile devices, because mobile devices do not have enough performance on CPU and memory components. Thus, a new fast handling algorithm optimized for mobile devices is required to recognize objects. In this research, we propose new methods to recognize any object, especially rotated objects. Our method is designed to recognize any rotated object through corner point data. Corner data can be replaced by grouping those points having similar features as a representative one. And, corner data that are nearest from edge points are chosen to minimize any change of pixel information when rotating any given object. Also any specific pattern of the selected corner data and pixel information around the selected corner data need to be collected and stored for later matching operation. Experiment result shows that the proposed method can provide 96% accuracy. And, our algorithm shows highest performance. Therefore, our methods can be adapted to recognize any rotated object for performance and accuracy.

Original languageEnglish
Title of host publication2013 International Conference on IT Convergence and Security, ICITCS 2013
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 3rd International Conference on IT Convergence and Security, ICITCS 2013 - Macau, China
Duration: 2013 Dec 162013 Dec 18

Publication series

Name2013 International Conference on IT Convergence and Security, ICITCS 2013

Other

Other2013 3rd International Conference on IT Convergence and Security, ICITCS 2013
CountryChina
CityMacau
Period13/12/1613/12/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Kim, D. H., Jung, H. S., Hong, C. P., Kim, C. G., & Kim, S. D. (2013). Rotated object recognition based on corner feature points for mobile augmented reality applications. In 2013 International Conference on IT Convergence and Security, ICITCS 2013 [6717879] (2013 International Conference on IT Convergence and Security, ICITCS 2013). https://doi.org/10.1109/ICITCS.2013.6717879