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In this paper, we present a new B-spline surface reconstruction approach, called dynamic surface reconstruction, aiming to close the sensing-and-modeling loop in 3D digitization. At its core, this approach uses a recursive least squares method, the Kalman filter, to dynamically reconstruct the B-spline surface as the surface data are acquired. That is, the acquired data are dynamically incorporated...
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