Earticle

초록

영어

We present a system for acquiring synchronized multi-view color and depth (RGB-D) data using multiple off-the-shelf Microsoft Kinect and a new method for reconstructing spatio-temporally coherent 3D animation from time-varying dynamic RGB-D data. Our acquisition system is independent of any specific hardware component for the synchronization of the camera system. We show that the data acquired by our framework can be synchronously registered in a global coordinate system and then can be used to reconstruct the 3D animation of a dynamic scene. The main benefit of our work is that instead of relying on expensive multi-view video capture setups, multiple low cost Microsoft Kinect sensors can capture both the image and the depth data to do a 360o reconstruction of a dynamic scene. We also present a new algorithm for tracking dynamic three-dimensional point cloud data that can be used to reconstruct a time-coherent representation of a 3D animation without using any template model or a-prior assumption about the underlying surface. We show that despite some limitations imposed by the hardware for the synchronous acquisition of the data we can get reasonably good reconstruction of the animated 3D geometry, which can be used in a number of applications.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Data Acquisition
 4. System Geometry & Calibration
 5. Global Registration and Segmentation
 6. Spatio-Temporally Coherent 3D Animation
 7. Results
 8. Conclusion
 Acknowledgements
 References

키워드

저자

• Naveed Ahmed [ University of Sharjah ]
• Imran Nazir Junejo [ University of Sharjah ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605