Unsupervised Object Discovery and Segmentation of RGBD-images

arXiv: Robotics, Volume abs/1710.06929, 2017.

Cited by: 3|Views20
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Abstract:

In this paper we introduce a system for unsupervised object discovery and segmentation of RGBD-images. The system models the sensor noise directly from data, allowing accurate segmentation without sensor specific hand tuning of measurement noise models making use of the recently introduced Statistical Inlier Estimation (SIE) method. Throu...More

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