Leia Spv LLC

Leia Inc.

Nicolas Dahlquist

Puneet Kohli

Saravana Gunaseelan

Edward Li

Systems and methods are directed to real-time multiview video conversion. This conversion may involve receiving a video stream including two-dimensional (2D) frames, where each 2D frame corresponds to a respective 2D video timestamp. In addition, a camera baseline and a center viewpoint are identified. These parameters may be user-specified or predetermined. A target timestamp for a view of a multiview frame may be determined based on the camera baseline and the center viewpoint. The view is generated from a subset of 2D frames having 2D video timestamps adjacent to the target timestamp. A multiview video is rendered for display, where the multiview video comprises the view of the multiview frame.

Real-time multiview video conversion method and system

Described herein are system and methods to improve the image quality of a multiview image. In some embodiments a zero disparity plane image is generated based on a view of a multiview by identifying portions of the multiview image that correspond to the zero disparity plane. The zero disparity plane image and view images of the multiview image may be transmitted to a time-multiplexed display. The time-multiplexed display may operate according to a two-dimensional (2D) mode and a multiview mode. The time-multiplexed display may be configured to display the zero disparity plane image and the view images as a composite image.

Systems and methods of enhancing quality of multiview images using a multimode display

A system and method of multiview style transfer apply a style transfer to individual views of a multiview image in a way that produces consistent results across all images. In some embodiments, the multiview style transfer includes receiving first and second images representative of first and second perspectives of a scene and first and second disparity maps corresponding to the first and second images, generating a first stylized image, generating a stylized shifted image based on the first stylized image and the first disparity map, generating a second stylized image based on a guided filter of the stylized shifted image and the second image, and generating a first and second stylized image based on the stylized shifted images and the disparity maps.

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Redwood City, CA, United States of America

Nicolas Dahlquist