Musculo-skeletal shape skinning

Miller, Erick; Harkins, Joe

doi:10.1145/1278780.1278830

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…By introducing automatically generated inner layers into a mesh object, collisions handling and volume preservation can be improved [DB13]. In order to simulate realistic muscle behaviour, it is proposed to model muscle with Non Uniform Rational B-Spline (NURBS) surface generator, and apply spring equations to simulate muscle jiggling and skin tension [MH07]. Combining simulation with manually created blend shape, muscle simulation speed can be enhanced [MH07].…”

Section: Multi-layer Systemmentioning

confidence: 99%

“…In order to simulate realistic muscle behaviour, it is proposed to model muscle with Non Uniform Rational B-Spline (NURBS) surface generator, and apply spring equations to simulate muscle jiggling and skin tension [MH07]. Combining simulation with manually created blend shape, muscle simulation speed can be enhanced [MH07]. In [AS07], manually created anatomic tissue layer known as vortex deformers is proposed.…”

Section: Multi-layer Systemmentioning

confidence: 99%

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Multi-layer Lattice Model for Real-Time Dynamic Character Deformation

Iwamoto

Shum

Yang

et al. 2015

Computer Graphics Forum

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Section: Multi-layer Systemmentioning

confidence: 99%

Section: Multi-layer Systemmentioning

confidence: 99%

Multi-layer Lattice Model for Real-Time Dynamic Character Deformation

Iwamoto

Shum

Yang

et al. 2015

Computer Graphics Forum

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Senescence: An Age-Based Character Simulation Framework

Rajasekaran¹,

Adamo-Villani²

2015

2015 19th International Conference on Information Visualisation

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The paper presents the development and initial validation of the Senescence character framework, a simulation tool that can be used for rigging muscle deformer-based humanoid characters, with support for age. The senescence framework allows the user to rig any bipedal 3D character and manipulate skeleton and muscle parameters in order to render the age of the character realistically. The framework was developed using Python, Maya Embedded Language and PyQt. A study with 100 subjects was conducted to determine whether participants were able to perceive the age of the characters simulated with the Senescence framework. Findings show that while subjects were able to perceive age differences, they were not able to identify the age of the simulated characters with high level of accuracy. Results also show that subjects with animation expertise were able to identify the age of the characters more accurately than subjects without animation experience.

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Musculo-skeletal shape skinning

Cited by 2 publications

References 8 publications

Multi-layer Lattice Model for Real-Time Dynamic Character Deformation

Multi-layer Lattice Model for Real-Time Dynamic Character Deformation

Senescence: An Age-Based Character Simulation Framework

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