AI RESEARCH
Implicit Multi-Camera System Calibration Using Gaussian Processes
arXiv CS.CV
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ArXi:2605.07491v1 Announce Type: new This paper proposes a novel framework for implicit multi-camera system calibration utilizing Gaussian Process (GP) regression. Conventional explicit calibration methods are constrained by rigid mathematical models and struggle with complex, non-linear distortions from unconventional optics, while existing neural network-based implicit approaches are typically data-hungry and lack inherent uncertainty quantification (UQ