Three Main Concerns in Sketch Recognition and an Approach to Addressing Them

by

James V. Mahoney, Markus P. J. Fromherz

Summary

The paper begins by noting that sketch recognition technology must meet three requirements: it must be able to cope with ambiguity, it must have interactive performance, and it must be extensible. To demonstrate their approach to solving these problems Mahoney and Fromherz took on the task of labeling stick figure drawings (i.e. labeling legs and arms). Mahoney and Fromherz believe there are three sources of ambiguity: sloppy drawing, articulation, and interaction with a background context. The sloppiness causes problems with segmentation, thus matching to a model becomes difficult. The authors propose a variety of preprocessing techniques to get around this (proximity linking, virtual junction splitting, spurious segment jumping). They further deal with the issues involved in sub-graph matching and model acquisition.

Discussion

I was expecting something much more from the title. A bit disappointed. It all seemed too focused on stick figures.

Citation

Mahoney, JV, & Fromherz, MPJ (2002). Three main concerns in sketch recognition and an approach to addressing them. AAAI Spring Symposium on Sketch Understanding, pp 105---112, March 25-27 2002.