no code implementations • 22 Jul 2017 • Li Sun, Gerardo Aragon-Camarasa, Simon Rogers, Rustam Stolkin, J. Paul Siebert
Our visual feature is robust to deformable shapes and our approach is able to recognise the category of unknown clothing in unconstrained and random configurations.
no code implementations • 18 Oct 2016 • Li Sun, Gerardo Aragon-Camarasa, Simon Rogers, J. Paul Siebert
The experimental results show that the proposed dual-arm flattening using stereo vision system remarkably outperforms the single-arm flattening and widely-cited Kinect-based sensing system for dexterous manipulation tasks.
no code implementations • 28 Nov 2013 • Gerardo Aragon-Camarasa, Susanne B. Oehler, Yu-An Liu, Sun Li, Paul Cockshott, J. Paul Siebert
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.