Groups of adjacent contour segments for object detection

Vittorio Ferrari (1) , Loic Fevrier (1) , Cordelia Schmid (1) , Frédéric Jurie (1)

1 GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen

We present a family of scale-invariant local shape features formed by chains of k connected, roughly straight contour segments (kAS), and their use for object class detection. kAS are able to cleanly encode pure fragments of an object boundary, without including nearby clutter. Moreover, they oer an attractive compromise between information content and repeatability, and encompass a wide variety of local shape structures.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Vittorio Ferrari, Loic Fevrier, Cordelia Schmid, Frédéric Jurie. Groups of adjacent contour segments for object detection. 2008. ⟨hal-00203719⟩