RGBD Datasets
Each of the following datasets contain a series of RGB and depth images of a planar scene. In each dataset, the camera performs a distinct movement.
The images were captured using a Kinect camera and have a resolution of 1280×960 (the depth images are upscaled). They were generated using the ROS-based rgbd_dataset_gen toolkit.
The data sets are 'downwards compatible' to the image datasets created by Mikolajczyk et. al.
Related Publications
David Gossow, David Weikersdorfer, Michael Beetz: Distinctive Texture Features from Perspective-Invariant Keypoints, International Conference on Pattern Recognition (ICPR), 2012
You can download datasets referenced in the publication in one single file: daft_datasets.tar.gz (207 MB)
You can get the source code of DAFT on github: https://github.com/dgossow/daft.
You can find a further list of related publications on the site of the original evaluation framework: http://www.robots.ox.ac.uk/~vgg/research/affine/.
Data description
Each directory contains the following files:
- depth*.pgm: 16-Bit depth images in mm
- img*.pgm: 8-Bit RGB images
- mask.pgm: Indicates region of interest in first image
- H1to*p: 3×3 Homography from image 1 to n
- K: 3×3 intrinsic camera matrix
In addition, it contains one of the following parameter files:
- cam_rotation: rotation around camera axis (degrees)
- vp_rotation: rotation around plane normal (degrees)
- vp_angle: angle between camera axis and plane normal, relative to img1 (degrees)
- scaling: 2d image scaling relative to first image (0..1)
The parameter files contain the numerical values for all images except the first.
The 'Poster' Data Set
Download the full dataset: poster.tar.gz (623 MB)
This scene shows several posters fixed to the ground or wall.
It contains the following transformations:
- camrotate0,camrotate45,camrotate60: The camera rotates up to 90° around its view axis, while looking at the posters in a fronto-parallel view or 45°/60° tilted to the side.
poster_camrotate.jpg
- scale: The camera moves away from the scene, resulting in a scaling effect down to 24%.
poster_scale.jpg
- vpangle0, vpangle22, vpangle45: The camera starts at a fronto-parallel view, tilting to the side relative to the plane. The optical tilt axis is at 0, 22 and 45 degrees.
poster_vpangle.jpg
- vprotate35,vprotate40,vprotate45,vprotate55: The camera is tilted 35°/40°/45°/55° relative to the plane and rotates around its normal.
poster_vprotate.jpg
The 'World Map' Data Set
Download the full dataset: world_map.tar.gz (623 MB)
This scene shows a world map fixed to a wall.
It contains the following transformations:
- camrotate0,camrotate22,camrotate45: The camera rotates up to 90° around its view axis, while looking at the posters in a fronto-parallel view or 22°/45° tilted to the side.
world_map_camrotate.jpg
- scale: The camera moves away from the scene, resulting in a scaling effect down to 27%.
world_map_scale.jpg
- vpangle0, vpangle22, vpangle45: The camera starts at a fronto-parallel view, tilting to the side relative to the plane. The optical tilt axis is at 0, 22 and 45 degrees.
world_map_vpangle.jpg