Robust point cloud registration is a central problem in robotics, where aligning sensor readings is essential for mapping and navigation. A new arXiv paper focuses on two optimization formulations that are widely used for this task: maximum consensus and maximum clique.
The abstract explains that maximum consensus seeks a single transformation that aligns as many matches as possible. Maximum clique is presented as the alternative formulation, though the available text cuts off before giving its full definition.
Because the source is a single abstract, there is no independent comparison to report. The paper's contribution appears to be in addressing both formulations directly, which is useful for researchers deciding which approach to adopt.