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A Turntable-based Approach for Ground Truth Tracking Data Generation
2016
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Quantitative evaluation of feature trackers can lead significant improvements in accuracy. There are widely used ground truth databases in the field. One of the most popular datasets is the Middlebury database to compare optical flow algorithms. However, the database does not contain rotating 3D objects. This paper proposes a turntable-based approach that fills this gap. The key challenge here is to calibrate very accurately the applied camera, projector, and turntable. We show here that this
doi:10.5220/0005719404980509
dblp:conf/visapp/PusztaiH16
fatcat:m27bb3ccjbcpxhggftisvlpgiy