Kinect@Home: Crowdsourcing a Large 3D Dataset of Real Environments

Aydemir, Alper (CVAP, KTH) | Henell, Daniel (CVAP, KTH) | Shilkrot, Roy (Massachusetts Institute of Technology) | Jensfelt, Patric (CVAP, KTH)

AAAI Conferences 

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 col- lection 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 Mi- crosoft Kinect camera.

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