Zobrazeno 1 - 10
of 51
pro vyhledávání: '"J Paul, Siebert"'
Publikováno v:
Robotics and Autonomous Systems. 118:220-230
We present a robot vision approach to deformable object classification, with direct application to autonomous service robots. Our approach is based on the assumption that continuous perception provides robots with greater visual competence for deform
Publikováno v:
Vision Research. 115:209-217
Computer simulated stimuli can provide a flexible method for creating artificial scenes in the study of visual perception of material surface properties. Previous work based on this approach reported that the properties of surface roughness and gloss
Publikováno v:
IROS
This paper proposes a single-shot approach for recognising clothing categories from 2.5D features. We propose two visual features, BSP (B-Spline Patch) and TSD (Topology Spatial Distances) for this task. The local BSP features are encoded by LLC (Loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f0730557a4f849d48a7a5445b87a568
https://eprints.gla.ac.uk/146761/7/146761.pdf
https://eprints.gla.ac.uk/146761/7/146761.pdf
Publikováno v:
ROBIO
This paper describes a camera and hand-eye\ud calibration methodology for integrating an active binocular\ud robot head within a dual-arm robot. For this purpose, we\ud derive the forward kinematic model of our active robot head\ud and describe our m
Publikováno v:
ROBIO
We present an interactive perception model for object sorting based on Gaussian Process (GP) classification that is capable of recognizing objects categories from point cloud data. In our approach, FPFH features are extracted from point clouds to des
Publikováno v:
ICRA
IEEE International Conference on Robotics and Automation (ICRA)
IEEE International Conference on Robotics and Automation (ICRA)
In this paper, we propose a Gaussian Process- based interactive perception approach for recognising highly- wrinkled clothes. We have integrated this recognition method within a clothes sorting pipeline for the pre-washing stage of an autonomous laun
Autor:
Yuan Liu, J. Paul Siebert
Publikováno v:
VISIGRAPP (4: VISAPP)
In this paper, two new rotationally invariant hexagon-based binary descriptors (HBD), i.e., HexIDB and HexLDB, are proposed in order to obtain better feature discriminability while encoding less redundant information. Our new descriptors are generate
Autor:
Ashraf Ayoub, Balvinder Khambay, Susanne Oehler, Arup Ray, Joanna Smith, Helga Henseler, J. Paul Siebert, Xiangyang Ju, Adrian Bowman
Publikováno v:
Journal of Plastic, Reconstructive & Aesthetic Surgery. 64:577-582
Summary Background The aim of this study was to evaluate the validity of a three-dimensional (3D) multiple stereo camera system for objective breast assessment. Methods A multiple stereo camera system, which consisted of four pods and eight cameras,
Publikováno v:
Pattern Recognition Letters. 31:1274-1284
We describe an active binocular vision system that is capable of localising multiple instances of objects of the same-class in different settings within a covert, pre-attentive, visual search strategy. By clustering SIFT-feature matches that have bee
Publikováno v:
Robotics and Autonomous Systems. 58:276-286
This paper presents the results of an investigation and pilot study into an active binocular vision system that combines binocular vergence, object recognition and attention control in a unified framework. The prototype developed is capable of identi