Rapid avatar capture and simulation using commodity depth sensors

Ari Shapiro, Andrew Feng, Ruizhe Wang, Hao Li, Mark Bolas, Gerard Medioni, Evan Suma

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

We demonstrate a method of acquiring a 3D model of a human using commodity scanning hardware and then controlling that 3D figure in a simulated environment in only a few minutes. The model acquisition requires four static poses taken at 90i angles relative to each other. The 3D model is then given a skeleton and smooth binding information necessary for control and simulation. The 3D models that are captured are suitable for use in applications where recognition and distinction among characters by shape, form, or clothing is important, such as small group or crowd simulations or other socially oriented applications. Because of the speed at which a human figure can be captured and the low hardware requirements, this method can be used to capture, track, and model human figures as their appearances change over time.

Original languageEnglish (US)
Pages (from-to)201-211
Number of pages11
JournalComputer Animation and Virtual Worlds
Volume25
Issue number3-4
DOIs
StatePublished - 2014
Externally publishedYes

Keywords

  • Animation
  • Avatar
  • Image capture

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