Abstract: Various implementations disclosed herein include devices, systems, and methods that uses blend circuitry to provide a view of live pass-through video with a virtual object including a light-spill effect. For example, a process includes capturing pass-through video of a physical environment. The process further includes capturing virtual content. The process further includes calculating a color from the virtual content. The process further includes controlling the blend circuitry to generate an augmented reality video by blending the pass-through video with the virtual content and by modifying at least one portion of the pass-through video with the calculated color from the virtual content.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.

Abstract: In one implementation, a method involves tessellating a surface of a 3D object by identifying vertices having 3D positions. The method transforms the 3D positions into positions for a first sphere-based projection for a left eye viewpoint and positions for a second sphere-based projection for a right eye viewpoint. Transforming the 3D positions of the vertices involves transforming the vertices based on a user orientation (i.e., camera position) and differences left and right eye viewpoints (e.g., based on interaxial distance and convergence angle). The method further renders a stereoscopic 360° rendering of the 3D object based on the first sphere-based projection for the left eye viewpoint and the second sphere-based projection for the right eye viewpoint. For example, an equirectangular representation of the first sphere-based projection can be combined with an equirectangular representation of the second sphere-based projection to provide a file defining a stereoscopic 360° image.