Scanning physical interaction behavior of 3D objects

Pai, Dinesh K.; Doel, Kees van den; James, Doug L.; Lang, Jochen; Lloyd, John E.; Richmond, Joshua L.; Yau, Som H.

doi:10.1145/383259.383268

Cited by 155 publications

(57 citation statements)

References 33 publications

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“…For example, Becker and Teschner [4] proposed a framework using quadratic programming to find linear elastic parameters and analyzed the effects of noise in measurements. Pai et al [24] combined a trinocular stereo system and a force measurement device to model deformable objects. The linear relationship between the tractions and displacements is estimated using a least squares formulation.…”

Section: Previous Workmentioning

confidence: 99%

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Fast optimization-based elasticity parameter estimation using reduced models

Lee

2012

Vis Comput

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Elasticity parameters are central to physicallybased animation and medical image analysis. We present an accelerated method to automatically estimate these parameters for a deformation simulator using an iterative optimization framework, given the desired (target) output surface/ shape. During the optimization, the input model is deformed by the simulator, and the distance between the deformed surface and the target surface is minimized numerically. To accelerate the optimization process, we introduce a dimension reduction technique to allow a trade-off between the computational efficiency and desired accuracy. The reduced model is constructed using statistical training with a set of example deformations. To demonstrate this approach, we apply the computational framework to 2D animations of elastic bodies simulated with a linear finite element method. We also present a 3D elastography example, which is simulated with a reduced-dimension finite element model to improve the performance of the optimizer.

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Section: Previous Workmentioning

confidence: 99%

“…Computer vision methods such as trinocular stereo [8,24] and 2D video tracking [6,32] has been used to track the surfaces or landmarks. For medical images, statistical model-based segmentation methods such as those based on active shape models [9] and mreps [25] can be used to extract smooth surfaces of organs.…”

Section: Previous Workmentioning

confidence: 99%

Fast optimization-based elasticity parameter estimation using reduced models

Lee

2012

Vis Comput

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“…In [14], elastic 3D objects are generated using stereo cameras and contact force measurements. The material parameters of soft tissues are identified in [15].…”

Section: Existing Researchmentioning

confidence: 99%

Prediction-based methods for teleoperation across delayed networks

et al. 2007

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The remote nature of telepresence scenarios can be seen as a strongpoint and also as a weakness. Although it enables the remote control of robots in dangerous or inaccessible environments, it necessarily involves some kind of communication mechanism for the transmission of control signals. This communication mechanism necessarily involves adverse network effects such as delay. Three mechanisms aimed at improving the effects of network delay are presented in this paper: (1) Motion prediction to partially compensate for network delays, (2) force prediction to learn a local force model, thereby reducing dependency on delayed force signals, and (3) haptic data compression to reduce the required bandwidth of high frequency data. The utilized motion prediction scheme was shown to improve operator performance, but had no influence on operator immersion. The force prediction provided haptic feedback through synchronous forces from the local model, thereby stabilizing the control loop. The developed haptic data compression scheme reduced the number of packets sent across the network by 90%, while improving the quality of the haptic feedback.

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“…A locally optimal position could be automatically found by some appropriate search. Such an automated planning system be especially useful in combination with a robot controlled acquisition environment [32].…”

Section: Future Workmentioning

confidence: 99%

3D acquisition of mirroring objects using striped patterns

et al. 2005

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Objects with mirroring optical characteristics are left out of the scope of most 3D scanning methods. We present here a new automatic acquisition approach, shape-from-distortion, that focuses on that category of objects, requires only a still camera and a color monitor, and produces range scans (plus a normal and a reflectance map) of the target. Our technique consists of two steps: first, an improved environment matte is captured for the mirroring object, using the interference of patterns with different frequencies to obtain sub-pixel accuracy. Then, the matte is converted into a normal and a depth map by exploiting the self-coherence of a surface when integrating the normal map along different paths. The results show very high accuracy, capturing even smallest surface details. The acquired depth maps can be further processed using standard techniques to produce a complete 3D mesh of the object.

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Scanning physical interaction behavior of 3D objects

Cited by 155 publications

References 33 publications

Fast optimization-based elasticity parameter estimation using reduced models

Fast optimization-based elasticity parameter estimation using reduced models

Prediction-based methods for teleoperation across delayed networks

3D acquisition of mirroring objects using striped patterns

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