Method and system for determining a spatial transformation employing partial dimension iterative closest point
Abstract:
A spatial monitoring system employs a partial dimension iterative closest point analysis to provide improved accuracy for point cloud registration. The partial dimension iterative closest point analysis improves registration accuracy by performing optimization in accordance with an error magnitude of each dimension, wherein dimensions having large initial errors are significantly improved, and dimensions having high initial accuracy are further improved. The registration separately optimizes each dimension using surfaces with contributing information for the optimized dimension.
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