doi: 10.7763/IJMLC.2012.V2.123
Flaws in the Computer Algorithm for Reconstructing a Scene from Two Projections
- Al Ghurair University, Dubai, UAE.
Abstract
In 1981 Longuet-Higgins represented the world point by two vectors in the two camera reference frames and developed the essential matrix. Such a matrix is a relation between the corresponding image points on the two images of a world point on a rigid scene.<br /> The essential matrix is independent of the position and orientation of the cameras used to capture the two views.<br /> The calculation of the essential matrix requires the knowledge of at least five accurate pairs of corresponding points. The unavailability of a procedure that fulfills such a requirement led researchers to focus their attention on developing estimation methods of the essential matrix without questioning the mathematical correctness of its derivation.<br /> In this paper, we identify and expose flaws in Longuet-Higgins’ derivation of the essential matrix. These flaws are the result of mixing up between the scalar product of vectors in a single reference frame and the transformation of vectors from one reference frame to another.
Keywords
- Dot product
- essential matrix
- epipolargeometry
- Stereo vision
How to Cite
Tayeb Basta, "Flaws in the Computer Algorithm for Reconstructing a Scene from Two Projections," International Journal of Machine Learning, vol. 2, no. 3, pp. 244-247, 2012. https://doi.org/10.7763/IJMLC.2012.V2.123
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).