Point-Based Medialness for Movement Computing

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Leymarie, Frederic Fol; Aparajeya, Prashant and MacGillivray, Carol. 2014. 'Point-Based Medialness for Movement Computing'. In: ACM Proceedings of the International Workshop on Movement and Computing (MOCO). Paris, France. [Conference or Workshop Item]

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Official URL: http://moco.ircam.fr/

Abstract or Description

We introduce the idea of using a perception-based medial point
description of a biological form (such as a 2D profile of a moving animal)
as a basis for movement computing which delivers computational
schemes to automatically annotate movement and be capable of producing
meaningful qualitative descriptions. We distinguish interior
from exterior shape representation. Interior
medialness is used to characterise deformations from straightness,
corners and necks, while exterior medialness identifies the main
concavities and inlands which are useful to verify parts extent and
reason about articulation and movement. We define an interior dominant
point as a well localised peak value in medialness representation,
while an exterior dominant point is evaluated by identifying a region
of concavity sub-tended by a minimum angular support. Furthermore,
significant convex points are extracted from the object's form to
further characterise the elongation of parts. We propose that our
evaluated feature points are sufficiently representative, as a basis
for shape characterisation, to address many of the goals of movement
computing.