›› 2014, Vol. 27 ›› Issue (11): 32-.

• Articles • Previous Articles     Next Articles

Mobile Augmented Reality Technique Based on E-FAST-SURF Algorithm

WANG Huixing   

  1. (School of Electronic Engineering,Xidian University,Xi'an 710071,China)
  • Online:2014-11-15 Published:2014-11-19

Abstract:

In view of the current limited processing capability of mobile devices hardware,the E-FAST-SURF algorithm is adopted for planar marker detection and tracking to improve the mark collection of feature points matching speed.Experimental results show that the algorithm can better adapt to the complex environment for the extraction of enhanced reality applications on mobile devices marked characteristics.

Key words: mobile augmented reality technique;E-FAST-SURF algorithm;feature extraction

CLC Number: 

  • TP301.6