Earticle

초록

영어

For improving automation calibration precision of multiple view texture collection in texture reconstruction, in this paper a new kind of calibration template using statistical distribution of surface texture is proposed. Firstly, there is a normalization processing be made according to statistical distribution of texture feature, such as species of color, quantity of geometric pattern and bump texture, etc. for the division of viewpoint. Then, the camera views of calibration template are assigned by using the normalization data with the calibration algorithm. Finally, the algorithm analysis is made by viewpoint division of four cases and the accuracy of our method can improve more than 10 percent. The experimental results show that, the proposed new calibration template method can better improve precision of 2D-3D registration and texture accuracy of reconstruction model than the uniform calibration template, while no obviously increasing the amount of calculation.

목차

Abstract
 1. Introduction
 2. The Calibration Algorithm of Statistical Distribution
  2.1. Statistical Distribution Method
  2.2. Algorithm Analysis
 4. Experiments
  4.1. Experimental Data
  4.2. Experiments Results
 5. Conclusion and Future Work
 References

키워드

저자

• Na Li [ College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, China ]
• Xing-yu Gong [ College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, China ]

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