A fast approach for perceptually-based fitting strokes into elliptical arcs

摘要

Fitting elliptical arcs to strokes of an input sketch is discussed. We describe an approach which automatically combines existing algorithms to get a balance of speed and precision. For measuring precision, we introduce fast metrics which are based on perceptual criteria and are tolerant of sketching imperfections. We return a likelihood estimate based on these metrics rather than deterministic yeso result, in order that the approach can be used in higher-level collaborative-decision recognition flows.