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Lecture Notes in Computer Science
In many geometry processing applications, the estimation of differential geometric quantities such as curvature or normal vector field is an essential step. Focusing on multigrid convergent estimators, most of them require a user specified parameter to define the scale at which the analysis is performed (size of a convolution kernel, size of local patches for polynomial fitting, etc). In a previous work, we have proposed a new class of estimators on digital shape boundaries based on Integraldoi:10.1007/978-3-319-09955-2_14 fatcat:2pxlp37smjbwjg4yqk3i7c5mna