Least squares 3D surface and curve matching
نویسندگان
چکیده
منابع مشابه
Least Squares 3d Surface Matching
An algorithm for the least squares matching of overlapping 3D surfaces is presented. It estimates the transformation parameters between two or more fully 3D surfaces, using the Generalized Gauss-Markoff model, minimizing the sum of squares of the Euclidean distances between the surfaces. This formulation gives the opportunity of matching arbitrarily oriented 3D surfaces simultaneously, without ...
متن کاملGeneralized Least Squares Multiple 3d Surface Matching
A method for the simultaneous co-registration and georeferencing of multiple 3D pointclouds and associated intensity information is proposed. It is a generalization of the 3D surface matching problem. The simultaneous co-registration provides for a strict solution to the problem, as opposed to sequential pairwise registration. The problem is formulated as the Least Squares matching of overlappi...
متن کاملRecent Advances in Least Squares 3d Surface Matching
We present an algorithm for the least squares matching of overlapping 3D surfaces. It estimates the transformation parameters between two or more fully 3D surfaces, using the Generalized Gauss-Markoff model, minimizing the sum of squares of the Euclidean distances between the surfaces. This formulation gives the opportunity of matching arbitrarily oriented 3D surfaces simultaneously, without us...
متن کاملLeast Squares Matching of 3d Surfaces
An algorithm for the least squares matching of overlapping 3D surfaces is presented. It estimates the transformation parameters of one or more fully 3D surfaces with respect to a template one, using the Generalized Gauss-Markoff model, minimizing the sum of squares of the Euclidean distances between the surfaces. This formulation gives the opportunity of matching arbitrarily oriented 3D surface...
متن کاملCo-registration of pointclouds by 3D Least Squares matching
The automatic co-registration of point clouds, representing 3D surfaces, is a relevant problem in 3D modeling. We treat the problem as least squares matching of overlapping surfaces. The surface may have been digitized/sampled point by point using a laser scanner device, a photogrammetric method or other surface measurement techniques. Our proposed method estimates the transformation parameters...
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ژورنال
عنوان ژورنال: ISPRS Journal of Photogrammetry and Remote Sensing
سال: 2005
ISSN: 0924-2716
DOI: 10.1016/j.isprsjprs.2005.02.006