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Comparison of HK and SC curvature description methods

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2 Author(s)
H. Cantzler ; Machine Vision Unit, Edinburgh Univ., UK ; R. B. Fisher

This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range data. One well-known method to classify patches of various shapes is the HK classification space. Another way to classify patches is the SC method introduced by Koenderink and van Doorn (1992). This paper presents several experiments designed to show the (1) qualitatively different classification, (2) the impact of thresholds and (3) the impact of different noise levels. We conclude that Koenderink's approach has some advantages at low thresholds, complex scenes and at dealing with noise

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3-D Digital Imaging and Modeling, 2001. Proceedings. Third International Conference on

Date of Conference: