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A robust image-based method for 3D registration

Today modeling from reality receives more and more attention. In this paper, we present a novel image-based 3D registration method. Compared with a previous one it does not require accurate starting position, albedo and geometric invariants, but has to address the more apparent mismatch problems. First, distinctive corner points, which act as salient features for subsequent image matching, are detected via the minimal eigenvalue of the auto-correlation matrix. Then, a verification scheme discards the potential mismatches by thresholds of the correlation coefficients and point-to-point distances. Experimental results demonstrate the superiority of our proposed verification scheme to the previous one using only correlation coefficients under the relaxed conditions.