Summary
This paper introduces HUNCH system. It has a similar corner finding mechanism to that of Sezgin’s, that is , it find the minima in the speed curve. It also consider connects line endpoints using a connectivity threshold. Finally it experiments with some high level recognition such as 3D object inference or floor plan recognition. Their system employed CURVIT and STRAIT modules as curve recognizer and line endpoint latching module respectively.
They conclude that in order to have a successful sketch recognition system, some context information is necessary.
Discussion
This is a relatively old paper, however they propose some characteristics of a sketch system which is still ideal today, that is to identify sketches without context information. This paper is mostly experiments and possible solutions. Experiments and question proposed are still relevant today.
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