Earticle

초록

영어

In stereo vision, two images of a 3D scene are acquired from two viewpoints. One of the objectives of stereo vision work is to recover the 3D structure of the scene. Epipolar geometry describes the relationship between the images, and the essential and fundamental matrices are the algebraic representations of this geometry. The most important feature of these matrices that is emphasized in the literature is that they are independent of the scene structure. This article illustrates—empirically and theoretically—that the fundamental matrix depends on the scene structure and demonstrates that the matrix in 0lrFmm not only represents a relationship between corresponding points of the two views but also represents a relationship between other non-corresponding points. Furthermore, we show empirically that the equation 0lrFmm does not hold for any pair of corresponding points. In scenes with objects of different depths, the value of lrFmm depends on the depths of the 3D points and increases proportionally with an increasing baseline.

목차

Abstract
 1. Introduction
 2. Previous Work
 3. Empirical Analysis
 4. Algebraic Analysis of the Fundamental Matrix Equation
 5. Geometric Analysis of the Fundamental Matrix Equation
  5.1. Projective Points
  5.2. Coplanar World Points
 6. Pointing Out the Causes
 7. Conclusions
 References

키워드

저자

• Tayeb Basta [ Associate Professor at Al Ghurair University, Dubai ]

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