AI RESEARCH
Certifiable Factor Graph Optimization
arXiv CS.CV
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ArXi:2603.01267v2 Announce Type: replace-cross We show that the factor graph and certifiable estimation paradigms, which have thus far been treated as essentially independent in the literature, can be naturally synthesized into a unified framework for certifiable factor graph optimization that combines the ease of use of the former with the strong performance guarantees of the latter.