Earticle

초록

영어

At present, the 3D object model technique is being applied in the simulation, virtual reality, 3D film industry and culture protection, and many other fields which can be widely applied. However, the existing 3D reconstruction technology is based on the complex and often expensive sensors. Therefore, we conduct research on computer graphics theory and mathematical modelling based 3D reconstruction methodology with Kinect. We firstly introduce the basic concepts and application of Kinect system which serves as the preliminary of our research. Then, we conduct mathematical modelling for our proposed system with theoretical analysis. Later, experiment and numerical simulation is conducted for verifying the robustness and effectiveness of our proposed approach. The visualized and numerical simulation result indicates that our method outperforms and holds better accuracy compared with other popular adopted algorithms. In the future, we plan to combine more optimization techniques to polish and modify our approach.

목차

Abstract
 1. Introduction
 2. The Introduction to Kinect System and Applications
  2.1. The Kinect Introduction
  2.2. The Kinect Calibration and Pre-Processing
 3. Our Proposed Method
  3.1. The Principles of Cellular Genetic Algorithm
  3.2. The Image Depth Estimation Algorithm
  3.3. The Combination with Poser Model
 4. The Experiment and Simulation Result
  4.1. Experimental Set up and Initialization
  4.2. The Visual Result for the Experiment
  4.3. The Numerical Result for the Experiment
 5. Conclusion and Summary
 References

키워드

저자

• Honglin Huang [ Guangzhou International Economics College, Guangdong 510540, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605