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Imaging / Gesture recognition / Object recognition / 3D single object recognition / Pose / Robot / Humanoid robot / Human–robot interaction / Domestic robot / Vision / Computer vision / Artificial intelligence


Appearance-based Object Reacquisition for Mobile Manipulation Matthew R. Walter MIT CS & AI Lab (CSAIL) Cambridge, MA, USA Yuli Friedman, Matthew Antone
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Document Date: 2014-11-19 14:27:01

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File Size: 2,64 MB

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City

Washington / DC / Edmonton / Autonomous City / Lausanne / Osaka / /

Company

Cambridge University Press / Autonomous Systems / Industrial Electronics / IEEE Comp / BAE Systems / /

Country

Japan / /

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IndustryTerm

object reacquisition algorithms / software platform / homography-based matching algorithm / reacquisition algorithm / vision algorithms / wireless handheld tablet / normalized inner product / possible solutions / reacquisition algorithms / /

Organization

Cambridge University / U.S. Army Combined Arms Support Command / U.S. Army Logistics Innovation Agency / Mobile Manipulation Matthew R. Walter MIT CS & AI Lab / Department of the Air Force / USA Seth Teller MIT CS & AI Lab / United States Government / /

Person

Matthew R. Walter / T. Zhang / V / Mi / Seth Teller / Matthew Antone / /

Position

supervisor / Task-Level Command Interface The supervisor / model / teller / human supervisor / particular object model / supervisor / the supervisor / Teller / and R. Davis / /

Product

C-0002 / /

ProgrammingLanguage

DC / /

ProvinceOrState

Alberta / /

PublishedMedium

Communications of the ACM / /

Technology

reacquisition algorithms / artificial intelligence / homography-based matching algorithm / Lowe’s SIFT algorithm / vision algorithms / gesture recognition / object reacquisition algorithms / reacquisition algorithm / Object Reacquisition Our algorithm / /

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