Efficient Nonlinear Optimization for Robotic Perception with Sparse Variable Projection

This ArXiv paper explores a method to improve the efficiency of nonlinear optimization problems in robotic perception by exploiting the separable structure of the problem. The approach, Sparse Variable Projection, is designed to enhance computational performance in complex robotic perception tasks.