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)
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.
Mar-25-2012
- Technology:
- Information Technology
- Artificial Intelligence > Robots (0.58)
- Communications > Social Media
- Crowdsourcing (0.43)
- Game Technology (0.93)
- Information Technology