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AR Post Capture

 

Post Capture was created to expand the AR product use case on Facebook platforms. User Research had identified that a top "User Need" was customized AR content that felt distinctly personalized to the user.  With Post Capture, users could apply filters to content from their camera roll.  This allowed users to be considerably more prescribed with the way they customized their content than they had been able to with Pre-Capture AR experiences.  I designed and pushed for the vision of Post Capture on the Messenger platform.  The strategy aimed at empowering users with creative AR tools to help them craft their own narrative.  Below are a sample of use-cases that I designed for Post Capture.

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Original

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Filtered

DOUBLE EXPOSURE

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Double Exposure was an advanced / artistic Post Capture filter.  It procedurally allowed users to create artwork with their own photos by combining multiple pictures together and utilizing Machine Learning features to separate the images.

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Original

Filtered

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Original

Filtered

OLD SCHOOL VINTAGE FILM

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Working with UXR we found that one of the biggest requests from users was that they wanted to filters that made their photos look good.  Old School Film filters gave Users the ability to inject a bit of style and texture into their images.  They were designed to emulate old "Lomography" with light leak, damage, grain, chromatic abberation and even timestamp.  To achieve this, LUT's were created and combined with various  effects built procedurally so that it allows looked unique.

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GOOGLY EYES

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Augmenting silly eyes onto faces was a simple idea, but it really transformed the mood and tone of the content. Using facial tracking this filter "smartly" placed googly eyes onto faces in portraits / group photos and really allowed users to tell a different story.

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Filter Mock

Prototype Mock Up

HANDS!

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Hands! gave users the unique ability to dictate the mood they wanted to express in an augmented scene.  Hands would animate into the scene and interact with faces on a photo, distorting the expression based on mood selector the user had chosen (happy, sad angry).  Additional LUTs and FX helped users tell the story.

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