Research on the augmented reality system without identification markers for home exhibition

@article{Chen2016ResearchOT,
  title={Research on the augmented reality system without identification markers for home exhibition},
  author={Liyan Chen and Xiaoyuan Peng and Junfeng Yao and Hong Qiguan and Chen Chen and Yihan Ma},
  journal={2016 11th International Conference on Computer Science \& Education (ICCSE)},
  year={2016},
  pages={524-528}
}
  • Liyan Chen, Xiaoyuan Peng, Yihan Ma
  • Published 1 August 2016
  • Computer Science
  • 2016 11th International Conference on Computer Science & Education (ICCSE)
This paper discusses a system based on Augmented Reality for Home Exhibition, which supports real-time tracking without Identification Markers, the system uses FAST corner detection and local window matching algorithm to establish the initial 3D maps. It then uses OpenGL ES Graphics Rendering Tools to make the virtual furniture models which established by MAYA on the mobile phone based on the real-time camera pose. 

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References

SHOWING 1-10 OF 13 REFERENCES
Mobile Augmented Reality edutainment applications for cultural institutions
TLDR
The paper presents ARmuseum, an application developed for the Museum of Industrial Olive Oil Production in Lesvos (MBEL) and discusses a number of issues related to the evaluation of mobile AR applications for cultural institutions.
Building your vision with Qualcomm's Mobile Augmented Reality (AR)
Academic/Research Overview of Mobile Augmented Reality Introduction to the Qualcomm AR Platform — Features and Usage Scenarios Developing Mobile AR Applications using Qualcomm's Unity Extension
Real Time Localization and 3D Reconstruction
TLDR
A method that estimates the motion of a calibrated camera and the tridimensional geometry of the environment and the introduction of a fast and local bundle adjustment method that ensures both good accuracy and consistency of the estimated camera poses along the sequence is described.
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
TLDR
Novel extensions to the core GPU pipeline demonstrate object segmentation and user interaction directly in front of the sensor, without degrading camera tracking or reconstruction, to enable real-time multi-touch interactions anywhere.
User evaluation of mobile augmented reality scenarios
TLDR
An online survey for evaluating the user acceptance of five different mobile AR scenarios, as well as for understanding the potential and risks or mobile AR in general, shows ambivalent attitudes towards mobile AR services and implies that the scenarios demonstrating pragmatic relevance were valued over pleasure oriented ones.
MonoSLAM: Real-Time Single Camera SLAM
TLDR
The first successful application of the SLAM methodology from mobile robotics to the "pure vision" domain of a single uncontrolled camera, achieving real time but drift-free performance inaccessible to structure from motion approaches is presented.
Machine Learning for High-Speed Corner Detection
TLDR
It is shown that machine learning can be used to derive a feature detector which can fully process live PAL video using less than 7% of the available processing time.
Mobile Augmented Reality edutainment applications for cultural institutions [ C ] Information Intelligence , Systems and Applications ( IISA ) , 2013 Fourth International Conference on
    Real-time 3D SLAM with wide-angle vision[C]//Proc
    • IFAC/EURON Symp. Intelligent Autonomous Vehicles
    • 2004
    ...
    ...