Quantifying Mean Shape and Variability of Footprints Using Mean Sets

摘要: This paper1 presents an application of several definitions a mean set for use in footwear design. For given size, footprint pressure images corresponding to different individuals constitute our raw data. Appropriate design needs have knowledge some kind typical footprint. Former methods based on contour relevant points are highly sensitive noise; moreover, they lack repeatability because the need intervention human designers. The method proposed this paper is using sets thresholded footprints. Three used, two them from Vorob’ev and Baddeley-Molchanov one morphological by authors. Results show that improves previous methodologies terms robustness repeatability.