Reading #12: Constellation Models for Sketch Recognition (2006)

by D. Sharon and M. van de Panne (paper)

Comments: Francisco

A Constellation is a collection of objects arranged in a certain pattern, forming an image. Drawings can be imagined as constellations, especially with regards to common objects, such as the human face. Each face has the same features arranged in the same manner, with slight variances in size, shape, and location. However, several overall main relationships are always present: two eyes are on a horizontal line and are above the nose, for example.

The authors have used this concept for sketch recognition. Required drawing elements and their relative positions are set as features and classified using a maximum likelihood search. Many sketches were collected for training data, and common features were identified and labeled. 5 class values were defined, including faces, flowers, sailboats, airplanes, and characters.

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This is an interesting way to identify common objects within sketches. Since the authors use only 5 classes, I wonder if this technique will support many classes. Also, it would be interesting to see how detailed this can get to perform more intricate recognition, such as multiple types of faces, or even individuals.

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