Daniel Rotman, Guy Gilboa
Electrical Engeering Deapartment,
Technion Israel Institute of technology, Haifa, Israel
DROT is a depth dataset created to test depth restoration, rectification and upsampling methods
- Real sensor input from Kinect 1, Kinect 2 and RealSense R200 sensors.
- RGB and depth images registered pixel-to-pixel versus high quality ground truth depth.
- For each sensor there are two viewpoints:
- RGB sensor with the registered depth image. This allows testing upsampling methods when the RGB image is substantially larger.
- IR sensor with the registered RGB image for straightforward depth restoration.
- The dataset consists five multiple frame videos, with varying types of object motion.
|Vid 1||Vid 2||Vid 3||Vid 4||Vid 5|
|30 framesMotion: turn, parallel||21 framesMotion: parallel||30 framesMotion: turn||20 framesMotion: parallel||11 framesMotion: turn, parallel, perpendicular|
Note: Depth PNG images may look completely black when opened with a simple image viewing program due to the 16bit encoding.
If you use this dataset in your work, please cite the following publication:
- Rotman and G. Gilboa, “A depth restoration occlusionless temporal dataset,” in International Conference on 3D Vision (3DV). IEEE, 2016.