Haptic Rendering of Cultural Heritage Objects at Different Scales

Sreeni, K. G.; Priyadarshini, K. Nivedita; Praseedha, A. K.; Chaudhuri, Subhasis

doi:10.1007/978-3-642-31401-8_45

Cited by 15 publications

(6 citation statements)

References 11 publications

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“…Instead of using a point proxy, a spherical volume proxy has been used in [31] and [27]. In the work by [32] rendering was restricted to a point cloud defined by Monge surface. The current work concentrate on how one can render sparse data set.…”

Section: Voxel Based Renderingmentioning

confidence: 99%

Distance Field based Haptic Rendering of Scattered Oriented Points

Sreeni¹

2013

IJCA

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This work is aimed at rendering of an object described by a scattered, oriented point set data without explicitly finding the bounding surface. We propose a proxy based rendering technique on a distance field based representation of the object in a regular 3D grid of voxels. Our method initially finds a 3D indicator function in the grid of voxels from the available point set data through sphere packing. The indicator function is further used to find the implicit potential function (distance field) in the voxel grid by iteratively moving the bounding surface of the object inward till all the voxels are covered. Our algorithm uses a gradient descent based minimization of the distance between HIP and proxy during the penetration of HIP in the object. The rendering algorithm interpolates the distance at the proxy point from the neighboring voxels in order to find the gradient for the purpose of moving the proxy. We experimented on a large set of scattered point set data and could effectively render them using a three degree of freedom haptic device.

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Section: Voxel Based Renderingmentioning

confidence: 99%

Distance Field based Haptic Rendering of Scattered Oriented Points

Sreeni¹

2013

IJCA

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“…In the last two decades, haptic rendering has found several applications on interactions with the virtual environment, such as virtual museum [17], dental surgery simulation [10], and force modeling for needle insertion [14]. However, these interactions cannot handle skin or bowel simulator, which requires the object to be both deformable and have variable stiffness.…”

Section: Introductionmentioning

confidence: 99%

Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness

Kumari

Chaudhuri

2016

Haptics: Perception, Devices, Control, and Applications

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In the real world, we often come across soft objects having spatially varying stiffness, such as human palm or a wart on the skin. In this paper, we propose a novel approach to render thin, deformable objects having spatially varying stiffness (inhomogeneous material). We use the classical Kirchhoff thin plate theory to compute the deformation. In general, the physics-based rendering of an arbitrary 3D surface is complex and time-consuming. Therefore, we approximate the 3D surface locally by a 2D plane using an area-preserving mapping technique -Gall-Peters mapping. Once the deformation is computed by solving a fourthorder partial differential equation, we project the points back onto the original object for proper haptic rendering. The method was validated through user experiments and was found to be realistic.

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“…In order to feel the 3D dense model at a closer level at run time we need to create hierarchies of levels of detail. With the Monge surface representation, such an hierarchy of levels of detail need to be pre-computed as given in [12]. Authors have used a point proxy which is moved iteratively over the locally computed surface to minimize the distance to the HIP during collision.…”

Section: Introductionmentioning

confidence: 99%

“…In real world every object gives the sensation of a resistive force while touching it. Without incorporation of the surface friction in the algorithm [12], rendering gives a very slippery experience. In the proposed work, we simulate the surface friction to provide a more realistic experience to the user.…”

Section: Introductionmentioning

confidence: 99%

Scalable rendering of variable density point cloud data

Kumari

Sreeni²,

Chaudhuri

2013

2013 World Haptics Conference (WHC)

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In this paper, we present a novel proxy based method of adaptive haptic rendering of a variable density 3D point cloud data at different levels of detail without pre-computing the mesh structure. We also incorporate features like rotation, translation and friction to provide a better realistic experience to the user. Instead of a point proxy, a spherical proxy of variable radius is used which avoids the sinking of proxy during the haptic interaction of sparse data. The radius of the proxy is adaptively varied depending upon the local density of the point data using kernel bandwidth estimation. During the interaction, the proxy moves in small steps tangentially over the point cloud such that the new position always minimizes the distance between the proxy and the haptic interaction point (HIP). The raw point cloud data re-sampled in a regular 3D lattice of voxels are loaded to the haptic space after proper smoothing to avoid aliasing effects. The rendering technique is experimented with several subjects and it is observed that this functionality supplements the user's experience by allowing the user to interact with an object at multiple resolutions.

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Haptic Rendering of Cultural Heritage Objects at Different Scales

Cited by 15 publications

References 11 publications

Distance Field based Haptic Rendering of Scattered Oriented Points

Distance Field based Haptic Rendering of Scattered Oriented Points

Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness

Scalable rendering of variable density point cloud data

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