FSC239Y5 Lecture Notes - Lecture 11: Missing Person, Forensic Facial Reconstruction, Scientific Visualization

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5 Jul 2018
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Facial reconstruction
oVisual communication of science
oInterpretive visualization
oImages crafted to meet the needs of a particular audience
oHow does facial reconstruction fit into this?
3d forensic facial reconstruction
oUnique form of scientific visualization
oPolice investigation
oCreate an image of the face as it appeared in life
oStructure of the skull
oDemographic profile
3d forensic facial approximation
oWhy do we do it?
oPossible vs. positive identification.
oPositive ID established through
DNA comparison
Radiological comparison
Odonatological comparison
Fingerprint comparison
Means to establish possible id:
1. Create a likeness of the individual
2. Present the likeness to the public
3. Generate new investigative leads
4. Establish a positive id
What can we know?
oThe practice assumes there is a predictable relationship between the structure of the
skull and the face.
oThe relationship is complex.
oKnow tissue depth
We can see thickness of eye but not thickness of lips
We can deduce nothing about
oHair color or style
oSkin blemishes, or scarring
oEye colour
Digital method
oStill modelled by hand – no digital automation involved.
oStart with object scan.... to get it on computer (digitize a model)
oKnow where to put the eyes.
oPut tissues.
Whos it for
oGeneral public
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Document Summary

3d forensic facial reconstruction: unique form of scientific visualization, police investigation, create an image of the face as it appeared in life, structure of the skull, demographic profile. 3d forensic facial approximation: why do we do it, possible vs. positive identification, positive id established through. Means to establish possible id: create a likeness of the individual, present the likeness to the public, generate new investigative leads, establish a positive id. What can we know: the practice assumes there is a predictable relationship between the structure of the skull and the face, the relationship is complex, know tissue depth. We can see thickness of eye but not thickness of lips. We can deduce nothing about: hair color or style, skin blemishes, or scarring, eye colour. Digital method: still modelled by hand no digital automation involved, start with object scan to get it on computer (digitize a model, know where to put the eyes, put tissues.

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