An efficient method to compute the inverse Jacobian matrix in visual servoing
Jean‐Thierry Lapresté, Frédéric Jurie, Michel Dhome, François Chaumette · 2004
The work presents a method for estimating the inverse Jacobian matrix of a function, without computing the direct Jacobian matrix. The resulting inverse Jacobian matrix is shown to perform much better in modelling a relation /spl theta/ = f/sup -1/ (x) than the classical Moore-Penrose inverse J/sup +//sub f/. Theoretical insight as well as comparisons in the domain of visual servoing are provided to demonstrate this assertion.