Gopro, Inc.

Adrien Fontvielle

Antoine Meler

Sophana Kok

Loïc Martin

Julien Morat

Benoit Fouet

Martin Arnoux

Renan Coudray

Thomas Vuillermet

Hervé Bonaillie

Jerome Lehaire

Claire Mathis

Denys Bulant

Mickaël Heudre

Emeric Grange

Stéphane Gamet

First visual information defining first spherical visual content, second visual information defining second spherical visual content, and/or other information may be obtained. Presentation of the first spherical visual content on a display may be effectuated. A spherical transition between the first spherical visual content and the second spherical visual content may be identified. The spherical transition may define a change in presentation of visual content on the display from the first spherical visual content to the second spherical visual content based on a transitional motion within a spherical space and/or other information. A change in presentation of the first spherical visual content on the display to presentation of the second visual content on the display may be effectuated based on the spherical transition and/or other information. The change may be determined based on the transition motion within the spherical space and/or other information.

Spherical visual content transition

Image captured with an image capture device with a rolling shutter may be deformed due to changes in imaging sensor orientation during image capture. Image deformities may occur due to rolling shutter that exposes rows of pixels to light at slightly different times during image capture. Deformities such as wobble, for example, and/or other deformities may be corrected by constructing an output image. The output image may be constructed by determining corresponding pixels within the input image. The location of the input pixel may be determined by performing one or more fixed point iterations to identify one or more input pixels within the input image. A value of the output pixel within the output image may be determined based on a value of a corresponding pixel within the input image.

Systems and methods for rolling shutter compensation using iterative process

Images of a scene may be captured by a set of image capture devices. Overlapping areas of the images may be identified based on the topology of the set of image capture devices. Frontiers within the overlapping areas of the images may be identified based on borders of the images. Sample points for the images may be distributed along the frontiers. Warp parameters including an anti-symmetric warping portion and a symmetric warping portion may be determined at the sample points. Displacement values may be determined at the sample points based on the warp parameters. Warp maps for the images may be determined based on diffusion of the displacement values. Displacement maps for the images may be determined based on interpolation of the warp maps. The images may be modified based on the displacement maps.

Systems and methods for parallax compensation

Spherical visual content transitions

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Goncelin, France

Adrien Fontvielle