A New Robust Method for Computing the Fundamental Matrix
HU Ming-xing
YUAN Bao-zong
Abstract：Two perspective images of single scene taken by uncalibrated perspect ive cameras are related by the fundamental matrix, which is the key to many prob lems of computer vision. This paper addresses the problem of computing the funda mental matrix using a new method. Sampson weighting, which represents the sum of square of the algebraic residuals divided by their standard deviations, is ada pted to improve the accuracy of the method, and the iterative method is called f or t he condition that the noise is not Gaussianly distributed. Experiments show that the method is robust and precise even if there is great noise.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 5-9 )