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3D Human Sensing

Authors: T. Matsuyama; S. Nobuhara; T. Mukasa; A. Miyamoto; K. Fujimoto;

3D Human Sensing

Abstract

The development of 3D video in recent years realizes 3D surface capturing of human in motion as is. In this paper, we introduce 3D human sensing algorithms based on 3D video. Since 3D video capturing does not require the object to attach special markers, we can capture the original information such as body motion or viewing directions without any disturbance caused by the sensing system itself.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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