Glasgow's Stereo Image Database of Garments
This provides a dataset for robotic vision research on garment handling, but it is incremental as it extends existing resources.
The researchers compiled a database of 80 stereo-pair images with disparity maps and annotations for 3D garment rendering to support cloth perception and manipulation in robotics, and made it publicly available for scientific use.
To provide insight into cloth perception and manipulation with an active binocular robotic vision system, we compiled a database of 80 stereo-pair colour images with corresponding horizontal and vertical disparity maps and mask annotations, for 3D garment point cloud rendering has been created and released. The stereo-image garment database is part of research conducted under the EU-FP7 Clothes Perception and Manipulation (CloPeMa) project and belongs to a wider database collection released through CloPeMa (www.clopema.eu). This database is based on 16 different off-the-shelve garments. Each garment has been imaged in five different pose configurations on the project's binocular robot head. A full copy of the database is made available for scientific research only at https://sites.google.com/site/ugstereodatabase/.