2018
DOI: 10.1145/3197517.3201382
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An empirical rig for jaw animation

Abstract: In computer graphics the motion of the jaw is commonly modelled by up-down and left-right rotation around a fixed pivot plus a forward-backward translation, yielding a three dimensional rig that is highly suited for intuitive artistic control. The anatomical motion of the jaw is, however, much more complex since the joints that connect the jaw to the skull exhibit both rotational and translational components. In reality the jaw does not move in a three dimensional subspace but on a constrained manifold in six … Show more

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Cited by 21 publications
(13 citation statements)
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“…While most hair acquisition focuses on static reconstruction, some do capture hair in motion or estimate physical properties for hair simulation [Hu et al 2017a]. Especially challenging is the acquisition of partially or completely hidden properties, such a the tongue [Hewer et al 2018], the skull [Achenbach et al 2018;, or the jaw [Zoss et al 2019[Zoss et al , 2018, where oftentimes specialized imaging systems are required, such as Computer Tomography (CT), Magnetic Resonance Imaging (MRI), or Electromagnetic Articulography (EMA). Lastly, even skin itself requires specialized treatment in some areas, such as lips [Garrido et al 2016b] or eyelids [Bermano et al 2015], where the local appearance and deformation exceed the capabilities of the more generic methods.…”
Section: Face Part Specific Methodsmentioning
confidence: 99%
“…While most hair acquisition focuses on static reconstruction, some do capture hair in motion or estimate physical properties for hair simulation [Hu et al 2017a]. Especially challenging is the acquisition of partially or completely hidden properties, such a the tongue [Hewer et al 2018], the skull [Achenbach et al 2018;, or the jaw [Zoss et al 2019[Zoss et al , 2018, where oftentimes specialized imaging systems are required, such as Computer Tomography (CT), Magnetic Resonance Imaging (MRI), or Electromagnetic Articulography (EMA). Lastly, even skin itself requires specialized treatment in some areas, such as lips [Garrido et al 2016b] or eyelids [Bermano et al 2015], where the local appearance and deformation exceed the capabilities of the more generic methods.…”
Section: Face Part Specific Methodsmentioning
confidence: 99%
“…DodecaPen [27] proposes an accurate pen-tip tracking approach by estimating the motion of a marked dodecahedron solid, an algorithm combines marker-based pose estimation and semi-dense photometric refinement is introduced to track the dodecahedron. The same method is adopted by Zoss et al [34,35] to collect motion data of the jaw animation accurately, but the performance of this method is greatly influenced by illumination variation, motion blur and occlusion. Our system can achieve relatively stable results even under those adverse conditions by introducing a robust region-based method.…”
Section: Related Workmentioning
confidence: 99%
“…These methods rely on feature-detection algorithms to obtain specific features, which means the feature-detection has a strong impact on the final tracking performance. By contrast, the marker-based method explicitly provides artificial features, which are usually considered to be relatively more stable and reliable [20], hence, it plays an irreplaceable role in object tracking area, especially for those scenarios require high accuracy [8], such as facial bones tracking [34,35], stylus tracking [27] and surgical instruments tracking [9,15].…”
Section: Introductionmentioning
confidence: 99%
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“…[HMD05] provided a comprehensive reference of muscle modelling parameters for lower and upper limbs. Anatomical modelling for specific body parts, such as face [SNF05, IKKP17], feet [PYL18], hands [SKP08, SSB*15], shoulders [VdH94, KVdH04, MT00], tongue [SLF12], and jaw [ZBBB18], has been explored for last two decades. Comprehensive full‐body musculoskeletal modelling and simulation systems are also available freely [DAA*07] and commercially [DRC*06].…”
Section: Related Workmentioning
confidence: 99%