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- Aydemir, AlperKTH,Datorseende och robotik, CVAP (author)
Kinect@Home : Crowdsourcing a large 3D dataset of real environments
- Article/chapterEnglish2012
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- 2012
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:kth-101348
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-101348URI
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- Language:English
- Summary in:English
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- SwePubSwePub
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- QC 20120828
- 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 and genre
- NATURVETENSKAP Data- och informationsvetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences hsv//eng
- Crowdsourcing
- Data sets
- MicroSoft
- Real environments
- Real-world image
Added entries (persons, corporate bodies, meetings, titles ...)
- Henell, DanielKTH,Datorseende och robotik, CVAP(Swepub:kth)u1i46pt1 (author)
- Jensfelt, PatricKTH,Datorseende och robotik, CVAP(Swepub:kth)u1u66xzd (author)
- Shilkrot, R. (author)
- KTHDatorseende och robotik, CVAP (creator_code:org_t)
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- In:AAAI Spring Symposium - Technical Report, s. 8-99781577355557
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