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Specifying Efficient Recognizers for Sketch-Based Rendering

  • Dan XiaoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8971)

Abstract

Compared to free sketch, gesture-based sketch recognition can achieve high accuracy by requiring the user to learn a particular drawing style in order for shapes to be recognized. In this case, choosing an appropriate classifier is quite critical. This paper compared three different algorithms for labeling each drawn stroke as being a particular component in the generic model. Our statistic shows that K-means classifier yields better results than the other two and we test that by applying this classifier to rocket sketches.

Keywords

Sketch recognition Sketch-based rendering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Shenzhen PolytechnicShenzhenChina

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