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Kinect@Home : Crowdsourcing a large 3D dataset of real environments

Aydemir, Alper (author)
KTH,Datorseende och robotik, CVAP
Henell, Daniel (author)
KTH,Datorseende och robotik, CVAP
Jensfelt, Patric (author)
KTH,Datorseende och robotik, CVAP
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Shilkrot, R. (author)
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 (creator_code:org_t)
2012
2012
English.
In: AAAI Spring Symposium - Technical Report. - 9781577355557 ; , s. 8-9
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • We present Kinect@Home, aimed at collecting a vast RGB-D dataset from real everyday living spaces. This dataset is planned to be the largest real world image collection of everyday environments to date, making use of the availability of a widely adopted robotics sensor which is also in the homes of millions of users, the Microsoft Kinect camera.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Crowdsourcing
Data sets
MicroSoft
Real environments
Real-world image

Publication and Content Type

ref (subject category)
kon (subject category)

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By the author/editor
Aydemir, Alper
Henell, Daniel
Jensfelt, Patric
Shilkrot, R.
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
Articles in the publication
AAAI Spring Symp ...
By the university
Royal Institute of Technology

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