Augmented Reality & AR frameworks on Unity Mohammad Mahdi - - PowerPoint PPT Presentation

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Augmented Reality & AR frameworks on Unity Mohammad Mahdi - - PowerPoint PPT Presentation

Augmented Reality & AR frameworks on Unity Mohammad Mahdi Mohebbian Beginning of an era : 1968: Ivan Sutherland, a Harvard professor and The user computer scientist, created the first head-mounted experienced display called The Sword


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Mohammad Mahdi Mohebbian

Augmented Reality & AR frameworks on Unity

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1968: Ivan Sutherland, a Harvard professor and computer scientist, created the first head-mounted display called ‘The Sword of Damocles’. Beginning of an era : The user experienced computer- generated graphics that enhanced their sensory perception of the world.

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In 1990 Tom Caudell actually coined the term “Augmented Reality” 1992: first fully functional AR system at USAF Armstrong’s Lab

1994: Julie Martin brought AR to entertainment industry with the theater production titled “Dancing in cyberspace”

1999: NASA created hybrid synthetic vision system using AR to assist in providing better navigation. 2000: ARToolKit -– 2003: sportvision enhancement – 2013: AR app for technicians – 2014: google glass – 2016: Microsoft wearables – 2017: IKEA released their famous AR app

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How it works :

Detection

Image Target Simple 3D

  • bjects

Complex 3D

  • bjects

Geo location 2D Targets In each of these use cases key features are the answer.

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In this seminar our focus is on Image target based apps. How to choose the perfect Image target for our application ? The key to a perfect image target is “FEATURES”. The term “feature” concept is originally from Computer Vision. More Features in your image Better detection and much harder to lose the target due to camera movement

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If you still have no idea what I mean by features. Feature detection process

#GoodImageTarget

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#BadImageTarget

Basically same scenario would be in place for 3D object detection, complex or primitive. Feature detection process

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Essentially anything which can be “featured” in computer vision can be used in AR. Another out of the box example: FACE The only difference in face augmentation and image augmentation is that in face augmentation features and their information are much more important than just helping for faster detection

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Augmented reality frameworks : Simultaneous Localization And Mapping

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Let’s begin with our Workshop. Second part First part EasyAR