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Michael Schoenberg

2 accepted papers

2018

ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

ECCV 2018poster

In this paper we present ActiveStereoNet, the first deep learning solution for active stereo systems. Due to the lack of ground truth, our method is fully self-supervised, yet it produces precise depth with a subpixel precision of 1/30th of a pixel; it does not suffer from the common over-smoothing…

Cited by 139SourcePDFScholar
2018

SOS: Stereo Matching in O(1) with Slanted Support Windows

IROS 2018poster

Depth cameras have accelerated research in many areas of computer vision. Most triangulation-based depth cameras, whether structured light systems like the Kinect or active (assisted) stereo systems, are based on the principle of stereo matching. Depth from stereo is an active research topic dating…

Cited by 24SourceScholar