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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Edge-based identification of DP-features on freeform solids

Lim, T.C. and Medellin, H. and Torres-Sanchez, C. and Corney, J.R. and Ritchie, J.M. and Davies, J.B.C. (2005) Edge-based identification of DP-features on freeform solids. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27 (6). pp. 851-860. ISSN 0162-8828

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Abstract

Numerous applications in mechanical CAD/CAM need robust algorithms for the identification of protrusion and depression features (DP-features) on geometric models with free-form (B-Spline) surfaces. This paper reports a partitioning algorithm that first identifies the boundary edges of DP-features and then creates a surface patch to cover the depressions or isolate the protrusions. The novelty of the method lies in the use of tangent continuity between edge segments to identify DP-feature boundaries that cross multiple faces and geometries.