3d technologies for teaching and learning

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3D technologies for teaching and learning

How using 3D technologies can benefit education and research

Image by UCL. Used with permission

An Introduction to 3D Digitisation

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Who is this 3D for?

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schools colleges universities

museums archives archaeology

engineering humanities

design arts computer sciences

Image by Andre Hilton. CC BY-SA 3.0

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Why use digital 3D?

» We can widen our audience by‘dematerialising’our real-world collection

» We can preserve fragile collections by making 3D copies

» We can harvest data from real world objects to increase our understanding

» Researchers can gain new knowledge by 3D modeling & simulation

» We can share 3D data of real world objects

» 3D printing can make surrogate objects available to all

» 3D printing creates infinite opportunities for prototyping

» Learners engage with immersive worlds and‘gamification’

Why?

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Dematerialising material

» A digital 3D model is essentially a set of instructions

» The digital 3D model is a virtual object

» 3D digital models can also be ‘printed out’ as real, tangible objects

» Part of the 'open' movement

» Falling costs and simplified workflows means using 3D content is now a realistic option Image by Andre Hilton. CC BY-SA 3.0

» Museum collections are protected from excessive handling

» Data can be used for analysis and sharing

» Surrogate objects can be generated

» Web delivery of collections generates greater footfall

Preserving collections

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Image by UCL. Used with permission

» 3D data provides greater insights and understanding

» Data can be made available to all

» Value added research

» Data can be used across disciplines

Harvesting data

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Image by CyArk. CC BY-SA 3.0

» 3D data provides insights into real world objects that are otherwise not attainable

» Increased knowledge can be used for conservation and preservation

» Dissemination of knowledge fulfils research remit

Gaining knowledge

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Image by Justin Barton. CC BY-SA 3.0

» 3D data can be archived and accessed at any time

» 3D data can be delivered via many means including web

» 3D data can be shared openly between institutions around the world

» Research can be collaborative

» 3D data can be accessed globally for 3D printing

Sharing 3D data

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Image by Eggalois. CC BY-SA 3.0

» 3D printing is a proactive, immersive learning activity

» Learners achieve immediate, tangible results

» Imagination is not limited by material

» Applicable learning to a wide variety of subjects and disciplines

3D printing for all

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Photo by nyxchaotica. CC BY-SA 3.0

» Democratisation of manufacture

» Infinite flexibility without cost

» Intricate shaping without waste

» Imagination without limits

3D prototyping

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Photo by Shapeways. CC BY-SA 3.0

» 3D augments gamification

» Learning can be gamified

» 3D creates immersive interaction

» 3D interaction develops cognitive skills

» 3D gamification increases engagement

» 3D gamification takes learning out of the classroom

3D VR AR

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Photo by Hagustin. CC BY-SA 3.0

» Dimension judged by eye or measured by hand

» Can be accurate and simple

» Or detailed and less accurate

» Any 3D modelling software can be used

» No point cloud > polygon transformations involved

Approximation

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Image by David Van Brink. CC BY-SA 3.0

» Laser focused on object

» Time of bound-back to scanner used to judge distance of a single point

» Built-in camera may also collect colour information for each point

» Point cloud is built then transformed into polygon

» Reflective objects are problematic

Laser scanning

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Image by CyArk. CC BY-SA 3.0

» Regular pattern of light projected onto object

» Object digitally photographed

» Computer calculates degree and nature of pattern distortion

» Computer calculates 3D shape of object

» Point cloud is built then transformed into polygon for viewing, sharing and using

» 2D images can be taken to create colour ‘texture maps’

Structured light

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Image by David Van Brink. CC BY-SA 3.0

» Using maths to ‘pull’ 3D geometry from 2D images

» Any camera can be used but ‘neutral’ lenses work best

» Done manually in WWI but now computerised

» Point cloud is built then transformed into polygon for viewing, sharing and using

» 2D images can be used to create colour ‘texture map’

Photogrammetry

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Image by Michael Ashley. CC BY-SA 3.0

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Find out more…

Contact…

Except where otherwise noted, this work is licensed under CC-BY-NC-ND

Matt FaberImaging advisor

[email protected]