Inteval Analysis for two spherical functions arising from robust Perspective-n-Lines problem
This work addresses a domain-specific problem in computer vision or geometry, likely incremental as it builds on existing robust PnL methods.
The study tackled the robust Perspective-n-Lines problem by conducting an interval analysis of two spherical functions derived from it, establishing rigorous theoretical results and validating them through numerical simulations.
This report presents a comprehensive interval analysis of two spherical functions derived from the robust Perspective-n-Lines (PnL) problem. The study is motivated by the application of a dimension-reduction technique to achieve global solutions for the robust PnL problem. We establish rigorous theoretical results, supported by detailed proofs, and validate our findings through extensive numerical simulations.