An incremental Bayesian approch to sketch recognition [approach read approach]
Shizhong Liao, Xiaojun Wang, Jinliang Lu · 2005
Sketch recognition is an essential process for sketch understanding. The free drawing style of sketching makes it difficult to build a robust sketch recognition system that can support the imprecision and high variability present in sketch. This paper addresses these problems inherent in sketch recognition in the framework of Bayesian network which can readily represent uncertainty in the recognition process and make inference based on partial evidence. To further improve recognition accuracy, context information is incorporated in the recognition process rather than identifying sketches in isolation. The new framework proposed in this paper offers user more sketching freedom by automatically grouping strokes and recognizing editing gestures as well as over-traced strokes.