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Today, it has become more frequent and relatively easy to digitize the surface of 3D objects and then to reconstruct a boundary representation (B-Rep). However, the obtained results suffer from various inaccuracies, mainly caused by noisy data. In this paper, we present an efficient method to detect and rectify many regularities approximately present in an object. We propose to extract global parallelism and orthogonality constraints, then locally and independently adjust the geometricdoi:10.5220/0006606000910100 dblp:conf/grapp/GauthierPBS18 fatcat:l54mwmlpbvgybgd6mvjjkh4qvi