Surface shape and curvature scales
Image and Vision Computing
Curvature Estimation in Oriented Patterns Using Curvilinear Models Applied to Gradient Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature Estimation of Surfaces in 3D Grey-Value Images
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Continuous orientation representation for arbitrary dimensions: a generalized knutsson mapping
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
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Surfaces can be described locally and classified by their curvature values at every point. In this paper we investigate a grey-level based curvature estimator in combination with a sampling-error free integration technique of the curvature image. We compute shape descriptors as the bending energy and a global topological invariant, the Euler characterization. The integration of curvature values over the surface area is done by grey-volume integration. Our curvature estimator works on the orientation field of the surface, which does not require a segmentation of the surface. The estimated orientation fields has discontinuities mod π. It is mapped via the Knutsson mapping to a continuous representation in which the curvatures are computed.