<p>This thesis explores a data
driven machine learning based solution for Facial reconstruction from three
dimensional (3D) skull shape for recognizing or identifying unknown subjects
during forensic investigation. With over 8000 unidentified bodies during the
past 3 decades, facial reconstruction of disintegrated bodies in helping with
identification has been a critical issue for forensic practitioners. Historically,
clay modelling has been used for facial reconstruction that not only requires
an expert in the field but also demands a substantial amount of time for
modelling, even after acquiring the skull model. Such manual reconstruction
typically takes from a month to over 3 months of time and effort. The solution
presented in this thesis uses 3D Cone Beam Computed Tomography (CBCT) data collected
from many people to build a model of the relationship of facial skin to skull
bone over a dense set of locations on the face. It then uses this skin-to-bone
relationship model learned from the data to reconstruct the predicted face model
from a skull shape of an unknown subject. The thesis also extends the algorithm
in a way that could help modify the reconstructed face model interactively to
account for the effects of age or weight. This uses the predicted face model as
a starting point and creates different hypotheses of the facial appearances for
different physical attributes. Attributes like age and body mass index (BMI)
are used to show the physical facial appearance changes with the help of a tool
we constructed. This could improve the identification process. The thesis also presents
a methods designed for testing and validating the facial reconstruction
algorithm. <br></p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/8980079 |
| Date | 13 August 2019 |
| Creators | Anusha Gorrila (7023152) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/Data_Driven_Dense_3D_Facial_Reconstruction_From_3D_Skull_Shape/8980079 |
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