Literature DB >> 6127693

Representation and recognition of the movements of shapes.

D Marr, L Vaina.   

Abstract

The problems posed by the representation and recognition of the movements of 3-D shapes are analysed. A representation is proposed for the movements of shapes that lie within the scope of the Marr & Nishihara (1978) 3-D model representation of static shapes. The basic problem is how to segment a stream of movement into pieces, each of which can be described separately. The representation proposed here is based upon segmenting a movement at moments when a component axis, e.g. an arm, starts to move relative to its local coordinate frame (here the torso). For example, walking is divided into a segment of the stationary states between each swing of the arms and legs, and the actual motions between the stationary points (relative to the torso, not the ground). This representation is called the state-motion-state (SMS) moving shape representation, and several examples of its application are given.

Mesh:

Year:  1982        PMID: 6127693     DOI: 10.1098/rspb.1982.0024

Source DB:  PubMed          Journal:  Proc R Soc Lond B Biol Sci        ISSN: 0950-1193


  13 in total

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2.  Emotion unfolded by motion: a role for parietal lobe in decoding dynamic facial expressions.

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3.  Typical action perception and interpretation without motor simulation.

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Review 4.  The mirror neuron system: a fresh view.

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5.  Holistic face categorization in higher order visual areas of the normal and prosopagnosic brain: toward a non-hierarchical view of face perception.

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6.  Impairments of biological motion perception in congenital prosopagnosia.

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7.  Effect of biomechanical constraints in the hand laterality judgment task: where does it come from?

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8.  Wholes and subparts in visual processing of human agency.

Authors:  Peter Neri
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Review 9.  A survey on model based approaches for 2D and 3D visual human pose recovery.

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10.  The neural representation of human versus nonhuman bipeds and quadrupeds.

Authors:  Liuba Papeo; Moritz F Wurm; Nikolaas N Oosterhof; Alfonso Caramazza
Journal:  Sci Rep       Date:  2017-10-25       Impact factor: 4.379

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