Paper Title:
Computer Vision-Based Augmented Reality System for Assembly Interaction
  Abstract

A research effort aimed at creating a computer vision-based augmented reality assembly system is presented. The architecture of this system for assembly interaction is described. To realize intuitive human-computer interaction, a computer vision-based hand tracking and gesture recognition approach is applied. This approach uses the color-based method to segment the hand from background, and locate the hand position by the marker attached on hand, and then recognizes the gesture according to the geometry constraint of human hand. In comparison with the traditional approaches, this new method does not require a stationary camera, and is not sensitive with intensity difference. So, it provides a real time performance and is easy to realize. Moreover, occlusion identification is studied in this paper to raise the real and virtual objects combination effect. Finally, a prototype system is provided to demonstrate the effectiveness and robustness of the presented approaches.

  Info
Periodical
Edited by
Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng
Pages
263-269
DOI
10.4028/www.scientific.net/AMM.37-38.263
Citation
H. W. He, Y. M. Wu, D. T. Zheng, Y. Rao, "Computer Vision-Based Augmented Reality System for Assembly Interaction", Applied Mechanics and Materials, Vols. 37-38, pp. 263-269, 2010
Online since
November 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yan Feng
Abstract:Fusing three-dimensional virtual scene and video image into a perfect whole, is a key technology in augmented reality, which includes a...
1
Authors: Yi Hu Huang, Hong Lei Chong, Zhong Hong Li, Yin Ping Zhang, Ning Hu, Xi Mei Jia
Chapter 3: Miscellaneous Topics
Abstract:Object occlusion often happens in reality life, so it is easy to cause the loss of tracking object. In order to solve this issue, this paper...
604
Authors: Li Ying Ban, Yue Hua Han, Yan Hai Wu
Chapter 7: Communication, Signal and Image Processing, Data Acquisition and Recognation Technologies
Abstract:A tracking algorithm based on improved Camshift and Kalman filter is proposed in this paper to deal with the problems in traditional Camshift...
3587