Disney Enterprises, Inc.

Microsoft Technology Licensing, LLC

Huw David Bowles

Markus H Gross

Kenny Mitchell

Alexander Sorkine Hornung

Robert Walker Sumner

Wojciech Jarosz

Thomas Oskam

Martin Stoykov Mihov

Andrew David Beaudoin

Phillip Williams

Jeffrey Brooks Spradling

Timothy Craig Dean

Stephen James Malpass

Kyle Matthew Emtman

William Myles

A virtual camera placement system is provided which includes a user input device configured to receive user input and a display device configured to display images captured by a virtual camera. The virtual camera placement system further includes non-volatile memory configured to store instructions and a processor configured to execute the instructions to generate a three-dimensional simulation including a plurality of challenge points for a user, navigate the simulation including the challenge points in response to the user input, and control the virtual camera in the simulation differently in a plurality of camera stages based on at least the user input and an outcome of navigating one or more of the challenge points.

Virtual camera placement system

An enhanced system and method for rendering virtual surface is disclosed. A grid may be constructed in a world space to provide positions that facilitate the rendering of the virtual surface. The grid may be constructed by intersecting circular lines and radial lines. The distance of circular lines with respect to one another may be determined by intersecting tessellation level and binary tree. Motion caused by a viewpoint transformation may be compensated by adjusting the grid. Rotational change of the viewpoint may compensated by rotating the grid according a degree of grid edge. Translational change of the viewpoint may be compensated by moving or rotating the grid in a direction opposite to the translational change.

Enhanced system and method for rendering visual surface

A method is provided for an optimized stereoscopic camera with low processing overhead, especially suitable for real-time applications. By constructing a viewer-centric and scene-centric model, the mapping of scene depth to perceived depth may be defined as an optimization problem, for which a solution is analytically derived based on constraints to stereoscopic camera parameters including interaxial separation and convergence distance. The camera parameters may thus be constrained prior to rendering to maintain a desired perceived depth volume around a stereoscopic display, for example to ensure user comfort or provide artistic effects. To compensate for sudden scene depth changes due to unpredictable camera or object movements, as may occur with real-time applications such as video games, the constraints may also be temporally interpolated to maintain a linearly corrected and approximately constant perceived depth range over time.

Optimized stereoscopic camera for real-time applications

Techniques are disclosed for performing image space reprojection iteratively. An insignificant parallax threshold depth is computed for a source image. Portions of the image having depth values greater than the insignificant parallax threshold depth may be shifted uniformly to produce corresponding portions of the reprojection (target) image. An iterative fixed-point reprojection algorithm is used to reproject the portions of the source image having depth values less than or equal to the insignificant parallax threshold depth. The fixed point reprojection algorithm quickly converges on the best pixel in the source image for each pixel in a target image representing an offset view of the source image. An additional rendering pass is employed to fill disoccluded regions of the target image, where the reprojection algorithm fails to converge.

Iterative reprojection of images

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Brighton, United Kingdom

Huw David Bowles