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Segmentation using smoothness constraint
Model ﬁtﬁng to point clouds
6 other sections not shown
algebraic distance approach approximate values as-built automated axis B-rep B-splines CAD model calculated Chapter Computer Vision Constructive Solid Geometry correspondence search corresponding objects covariance matrix CSG ﬁtting CSG model CSG object CSG tree curvature curve cylinder cylinder detection cylindrical rotation Cyrax deﬁned Direct method edges efﬁcient Equation error ﬁnal ﬁnd ﬁrst match ﬁtted ﬁtting ﬁxed geometric constraints geometric distance given point cloud Heuvel Hough transform ICP2 image segmentation industrial sites input point cloud Iterative Closest laser scanners laser scanning linear matrix measurements Mensi model ﬁtting noise normal number of points object recognition optimization orientation orthogonal distance over-segmentation PAMI partial derivatives Photogrammetry planar plane ﬁtting planes and cylinders point cloud presented methods primitives quaternion radius range data range image segmentation RANSAC registration parameters residual reverse engineering Section solution speciﬁcation standard deviation step superquadric surface normal techniques threshold torus translation Vosselman