Add to ORKGGeometric morphometrics aided by machine learning provide detailed and accurate statistical models of facial form. They promise to be extremely effective tools in surgical planning and assessment; however, a clinical tool to use this information is still to be created
Trauma and pathological involvement can result in major disruption of the face and skull’s complex 3...
Thesis (Ph.D.)--University of Washington, 2014Because the capture of 3D facial form for people with ...
The aim of this study was to investigate the value of 3D Statistical Shape Modelling for orthognathi...
Orthognathic surgery involves repositioning of the jaw bones to restore face function and shape for ...
We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset ...
Current computational tools for planning and simulation in plastic and reconstructive surgery lack s...
With prior knowledge and experience, people can easily observe rich shape and texture variation for ...
The treatment objectives for reconstructive procedures in children with craniofacial dysmorphologies...
This is the final version of the article. Available from Springer Verlag via the DOI in this record....
We present Large Scale Facial Model (LSFM) — a 3D Morphable Model (3DMM) automatically constructed f...
3D Morphable Models (3DMMs) are powerful statistical models of the 3D shape and texture of the human...
Abstract From a socio-psychological standpoint, improving the morphology of the facial soft-tissues ...
This is the final version of the article. It is the open access version, provided by the Computer Vi...
Clinical diagnosis of craniofacial anomalies requires expert knowledge. Recent studies have shown th...
Background: Geometric morphometrics (GMM) has been traditionally applied to the field of biology to ...
Trauma and pathological involvement can result in major disruption of the face and skull’s complex 3...
Thesis (Ph.D.)--University of Washington, 2014Because the capture of 3D facial form for people with ...
The aim of this study was to investigate the value of 3D Statistical Shape Modelling for orthognathi...
Orthognathic surgery involves repositioning of the jaw bones to restore face function and shape for ...
We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset ...
Current computational tools for planning and simulation in plastic and reconstructive surgery lack s...
With prior knowledge and experience, people can easily observe rich shape and texture variation for ...
The treatment objectives for reconstructive procedures in children with craniofacial dysmorphologies...
This is the final version of the article. Available from Springer Verlag via the DOI in this record....
We present Large Scale Facial Model (LSFM) — a 3D Morphable Model (3DMM) automatically constructed f...
3D Morphable Models (3DMMs) are powerful statistical models of the 3D shape and texture of the human...
Abstract From a socio-psychological standpoint, improving the morphology of the facial soft-tissues ...
This is the final version of the article. It is the open access version, provided by the Computer Vi...
Clinical diagnosis of craniofacial anomalies requires expert knowledge. Recent studies have shown th...
Background: Geometric morphometrics (GMM) has been traditionally applied to the field of biology to ...
Trauma and pathological involvement can result in major disruption of the face and skull’s complex 3...
Thesis (Ph.D.)--University of Washington, 2014Because the capture of 3D facial form for people with ...
The aim of this study was to investigate the value of 3D Statistical Shape Modelling for orthognathi...