Invariant surface characteristics for 3D object recognition in range images
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Surface Parametrization and Curvature Measurement of Arbitrary 3-D Objects: Five Practical Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic and reliable extraction of dendrite backbone from optical microscopy images
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
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Many computer vision techniques (e.g., object recognition) use curvature as an image feature. Arbitrary, discrete, 3D surfaces are often encountered, for instance, in medical images (MRI is used as a particular example), but relatively few methods for estimating the curvature of these 3D surfaces have been proposed. Three such methods (the surface triangulation, cross patch, and partial derivative techniques) are described. These methods are used to locate curvature extrema (corners) in 3D images. The suitability of the methods for this application is evaluated and compared.