Earticle

초록

영어

Understanding the polarization of light is becoming increasingly important in the study of non linear optics in computer vision. This is caused by the polarization state of light can provides an essential information concerning the observed surface orientations more proficient than the intensity information from conventional imaging system in many light condition. That is the reason why polarization imaging system can be widely uses for many application in computer vision field, such as object recognition, shape estimation or object segmentation. In the other side, stereo vision infers scene geometry from images pair with different viewpoints. Using Stereo vision can improve image understanding technique by obtaining depth information from pairs of digital images. Partially, many researchers have been done a lot of method in both imaging vision technique. However, there is very little research to combine the stereo vision with polarization imaging. The motivation of proposed work is come from nature, from many animals that use two eyes to sense a polarization light as a further source of visual information. The developed prototype is made of a stereo camera set-up with two liquid crystal components in front of the lenses. This article also describes the geometric and the photometric calibration process that is required and provides algorithms that enable to extract both three-dimensional information and polarization information.

목차

Abstract
 1. Introduction
 2. Previous Work
 3. Polarization Vision
 4. Stereo Vision
 5. Material and Method
  5.1. Imaging System
  5.2. Calibration
  5.3. Feature Detector, Stereo Matching and Remove Outliers
  5.4. Extract Polarization Information
 6. Result
  6.1. Validating Angle of Polarization Information
  6.2. Choosing Polarizer Intensity To Enhance Stereo Matching Result
  6.3. Multi Orientation Filter in One Scene
 7. Conclusion
 References

키워드

저자

• Mohammad Iqbal [ Lab LE2i CNRS UMR 5158, Université de Bourgogne, France. Gunadarma University, Indonesia. ]
• Fabrice Mériaudeau [ Lab LE2i CNRS UMR 5158,Université de Bourgogne, France. ]
• Olivier Morel [ Lab LE2i CNRS UMR 5158,Université de Bourgogne, France. ]

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