Authors:
Zoltán Pusztai
1
and
Levente Hajder
2
Affiliations:
1
MTA SZTAKI, Eötvös Loránd University and, Hungary
;
2
MTA SZTAKI, Hungary
Keyword(s):
Ground Truth Dataset, Ground Truth Dataset, 3D Scanner, 3D Reconstruction.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Pattern Recognition
;
Software Engineering
;
Stereo Vision and Structure from Motion
Abstract:
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 is possible, even if just a simple chessboard
plane is used for the calibration. The proposed approach is validated on 3D reconstruction and ground truth
tracking data generation of real-world objects.