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Disney Research makes augmented reality a group experience

'Magic Bench' lets users see, hear and feel animated characters

Disney Research

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IMAGE: Sit on Disney Research's Magic Bench and you may have an elephant hand you a glowing orb. Or you might get rained on. Or a tiny donkey might saunter by... view more 

Credit: Disney Research

Sit on Disney Research's Magic Bench and you may have an elephant hand you a glowing orb. Or you might get rained on. Or a tiny donkey might saunter by and kick the bench.

It's a combined augmented and mixed reality experience, but not the type that involves wearing a head-mounted display or using a handheld device. Instead, the surroundings are instrumented rather than the individual, allowing people to share the magical experience as a group.

People seated on the Magic Bench can see themselves in a mirrored image on a large screen in front of them, creating a third person point of view. The scene is reconstructed using a depth sensor, allowing the participants to actually occupy the same 3D space as a computer-generated character or object, rather than superimposing one video feed onto another.

"This platform creates a multi-sensory immersive experience in which a group can interact directly with an animated character," said Moshe Mahler, principal digital artist at Disney Research. "Our mantra for this project was: hear a character coming, see them enter the space, and feel them sit next to you."

The research team will present and demonstrate the Magic Bench at SIGGRAPH 2017, the Computer Graphics and Interactive Techniques Conference, beginning July 30 in Los Angeles.

The researchers used a color camera and depth sensor to create a real-time, HD-video-textured 3D reconstruction of the bench, surroundings, and participants. The algorithm reconstructs the scene, aligning the RGB camera information with the depth sensor information.

To eliminate depth shadows that occur in areas where the depth sensor has no corresponding line of sight with the color camera, a modified algorithm creates a 2D backdrop. The 3D and 2D reconstructions are positioned in virtual space and populated with 3D characters and effects in such a way that the resulting real-time rendering is a seamless composite, fully capable of interacting with virtual physics, light, and shadows.

"The bench itself plays a critical role," Mahler said. "Not only does it contain haptic actuators, but it constrains several issues for us in an elegant way. We know the location and the number of participants, and can infer their gaze. It creates a stage with a foreground and a background, with the seated participants in the middle ground. It even serves as a controller; the mixed reality experience doesn't begin until someone sits down and different formations of people seated create different types of experiences."

The Magic Bench was the work of a large team of Disney Research scientists. In addition to Mahler, it includes Kyna McIntosh, John Mars, James Krahe, Jim McCann, Alexander Rivera, Jake Marsico, Ali Israr and Shawn Lawson.

Combining creativity and innovation, this research continues Disney's rich legacy of leveraging technology to enhance the tools and systems of tomorrow.

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For more information and a video, visit the project web site at https://www.disneyresearch.com/publication/magic-bench/.

For more information about Augmented Reality at Disney Research, visit https://www.disneyresearch.com/project/ar-dr.

About Disney Research

Disney Research is a network of research laboratories supporting The Walt Disney Company. Its purpose is to pursue scientific and technological innovation to advance the company's broad media and entertainment efforts. Vice President Markus Gross manages Disney Research facilities in Los Angeles, Pittsburgh and Zurich, and works closely with the Pixar and ILM research groups in the San Francisco Bay Area. Research topics include computer graphics, animation, video processing, computer vision, robotics, wireless & mobile computing, human-computer interaction, displays, behavioral economics, and machine learning.

Website: http://www.disneyresearch.com
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