Abstract
Drawings and sketches are a natural way for people to communicate ideas, but it remains challenging to develop automated systems that can robustly recognize and interpret what is drawn. Most commonly, a drawing is first processed to obtain a low-level representation of that drawing in terms of lines or strokes, and this representation is then searched for matches to known object templates. In this chapter we propose two template-based methods for sketch recognition. A novel feature of these methods is that they both employ a hierarchy-of-parts template model that provides explicit support for templates with optional parts. This captures significant parts-based variation which would otherwise require a multitude of fixed-structure templates to model. The first method is developed for recognition in drawings consisting of sets of connected strokes and is applied as an interface for creating 3D models of airplanes, mugs, and fish. The second method allows for the recognition of more unstructured objects such as faces, plants, and sailboats in drawings that may also contain disjoint strokes. Neither method relies on the timing information of the input strokes, which may not be available for photographed or scanned drawings.
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Notes
- 1.
Stroke segmentation is turned off when drawing the template graph.
- 2.
We use w 1=2,w 2=1,w 3=1.
- 3.
We use σ 1=22°,σ 2=0.25,σ 3=0.1.
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van de Panne, M., Sharon, D. (2011). Flexible Parts-based Sketch Recognition. In: Jorge, J., Samavati, F. (eds) Sketch-based Interfaces and Modeling. Springer, London. https://doi.org/10.1007/978-1-84882-812-4_6
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