Summary
In this paper, the author describes the system they created which applies a constellation or 'pictorial structure' model to the recognition of strokes in sketches of particular classes or objects. They used a constellation model which was composed of mandatory features and optional features. A maximum likelihood search was then conducted to find the most plausible labeling for all the strokes appearing in the image based on pairwise interactions of the various components of the object.
Discussion
The system presented in this paper uses a similar idea to that proposed in LADDER in order to recognize various components of an object. Defining components based on their position compared to other components works for most cases although these relationships may not always remain the same. For example, a character may be in motion or laying down and so their arms may not always be directly to the sides of the torso. One addition that may help with this problem is to find the orientation of the convex envelope of the object and attempt labeling along this new axis.
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