2011 IEEE/RSJ International Conference on Intelligent Robots and Systems 2011
DOI: 10.1109/iros.2011.6094673
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Proxy method for fast haptic rendering from time varying point clouds

Abstract: This paper proposes a novel algorithm for haptic rendering from time varying point clouds captured using an Xbox Kinect RGB-D camera. Existing methods for point-based haptic rendering using a proxy can not directly be applied in this situation since no information about the underlying objects is given. This paper extends the notion of proxy to point clouds. The haptic algorithm presented here renders haptic forces from point clouds captured in real-time representing both static and dynamic objects.

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Cited by 34 publications
(13 citation statements)
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“…It is widely accepted that point clouds are a convenient and efficient way to represent complex object surfaces. In [36][37][38][39], point cloudbased haptic rendering approaches are proposed to generate force signals directly from point cloud models of object surfaces. However, these approaches are proposed only for virtual environments.…”
Section: Model-mediated Teleoperationmentioning
confidence: 99%
See 1 more Smart Citation
“…It is widely accepted that point clouds are a convenient and efficient way to represent complex object surfaces. In [36][37][38][39], point cloudbased haptic rendering approaches are proposed to generate force signals directly from point cloud models of object surfaces. However, these approaches are proposed only for virtual environments.…”
Section: Model-mediated Teleoperationmentioning
confidence: 99%
“…Compared to the traditional mesh-based rendering process, the pcbHR method can directly compute the force signals without converting the point cloud into meshes, which reduces the computational complexity. Previous approaches for pcbHR for rigid objects are described in [36][37][38][39]. In order to apply a low-cost pcbHR method including friction rendering, a combination of the approach in [36,37] and the friction cone method in [40] is proposed in this work.…”
Section: G Point Cloud-based Force Renderingmentioning
confidence: 99%
“…It is widely accepted that point clouds are a convenient and efficient way to represent complex object surfaces. In [36][37][38][39], point cloudbased haptic rendering approaches are proposed to generate force signals directly from point cloud models of object surfaces. However, these approaches are proposed only for virtual environments.…”
Section: Model-mediated Teleoperationmentioning
confidence: 99%
“…Compared to the traditional mesh-based rendering process, the pcbHR method can directly compute the force signals without converting the point cloud into meshes, which reduces the computational complexity. Previous approaches for pcbHR for rigid objects are described in [36][37][38][39]. In order to apply a low-cost pcbHR method including friction rendering, a combination of the approach in [36,37] and the friction cone method in [40] is proposed in this work.…”
Section: G Point Cloud-based Force Renderingmentioning
confidence: 99%
See 1 more Smart Citation