Robust Maximum Likelihood estimation by sparse bundle adjustment using the L1 norm

Sparse bundle adjustment is widely used in many computer vision applications. In this paper, we propose a method for performing bundle adjustments using the L1 norm. After linearizing the mapping function in bundle adjustment on its first order, the kernel step is to compute the L1 norm equations. Considering the sparsity of the Jacobian matrix in… CONTINUE READING