Temporal approximation of trilinear filtering

US11640699B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11640699-B2
Application numberUS-202117396036-A
CountryUS
Kind codeB2
Filing dateAug 6, 2021
Priority dateAug 6, 2021
Publication dateMay 2, 2023
Grant dateMay 2, 2023

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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Abstract

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In one embodiment, a method includes receiving instructions to render a snapshot of a scene for a video, where the snapshot is to be displayed using a sequence of N frames, computing a mipmap-level determining factor for a texture appearing in the scene based on a scale of the texture on a pixel grid, selecting a mipmap level of the texture for each of the N frames based on the mipmap-level determining factor, where the mipmap levels selected for the N frames are non-uniform and temporally approximate the mipmap-level determining factor, rendering each of the N frames by sampling the mipmap level of the texture selected for that frame, and displaying the rendered N frames sequentially to represent the snapshot of the scene.

First claim

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What is claimed is: 1. A method comprising, by a computing device: receiving instructions to render a snapshot of a scene for a video, wherein the snapshot is to be displayed using a sequence of N frames; computing, for a texture appearing in the scene, a mipmap-level determining factor based on a scale of the texture on a pixel grid; selecting, for each of the N frames, a mipmap level of the texture based on the mipmap-level determining factor and a frame-specific factor repeating at every N frames in the video, wherein the mipmap levels selected for the N frames are non-uniform and temporally approximate the mipmap-level determining factor; rendering each of the N frames by sampling the mipmap level of the texture selected for that frame; and displaying the rendered N frames sequentially to represent the snapshot of the scene. 2. The method of claim 1 , wherein the frame-specific factor is determined based on a position of the frame within the sequence of N frames. 3. The method of claim 2 , wherein the position of the frame within the sequence of N frames is determined by taking a modulo operation on a global frame sequence number corresponding to the frame with N. 4. The method of claim 1 , wherein the frame-specific factor within the sequence of N frames are distributed around zero within a range between −0.5 to +0.5. 5. The method of claim 1 , where mipmaps of the texture comprise a plurality of mipmap levels, wherein each mipmap level comprises a rendered array of texels that need to be filtered to determine a color value for each pixel in the pixel grid. 6. The method of claim 5 , wherein a rendered array of texels at mipmap level k is a power of two smaller than a rendered array of texels at mipmap level k-1. 7. The method of claim 5 , wherein sampling the mipmap level of the texture comprises performing a bilinear texture filtering at the mipmap level of the texture. 8. The method of claim 7 , wherein the bilinear texture filtering at the mipmap level of the texture comprises sampling four nearest texels in the mipmap level for a pixel center, wherein a color value for the pixel center is determined by weighted average of the four nearest texels according to their distances to the pixel center. 9. The method of claim 1 , wherein the scale of the texture on the pixel grid in each direction is computed as a Manhattan distance. 10. The method of claim 9 , wherein the scale in U direction is computed as ldx/dul+ldy/dul, wherein x is a horizontal axis of the pixel grid, and wherein y is a vertical axis of the pixel grid. 11. The method of claim 10 , wherein the scale in V direction is computed as ldx/dvl+ldy/dvl. 12. The method of claim 11 , wherein the mipmap-level determining factor for the texture appearing in the scene is computed as max(0, log2(max(scale in U direction, scale in V direction))+MipBias, wherein the MipBias is determined based on an amount of desired blur. 13. The method of claim 1 , wherein N, a number of frames used for displaying the snapshot, is pre-determined to avoid any potential flickering. 14. One or more computer-readable non-transitory storage media embodying software that is operable when executed to: receive instructions to render a snapshot of a scene for a video, wherein the snapshot is to be displayed using a sequence of N frames; compute, for a texture appearing in the scene, a mipmap-level determining factor based on a scale of the texture on a pixel grid; select, for each of the N frames, a mipmap level of the texture based on the mipmap-level determining factor and a frame-specific factor repeating at every N frames in the video, wherein the mipmap levels selected for the N frames are non-uniform and temporally approximate the mipmap-level determining factor; render each of the N frames by sampling the mipmap level of the texture selected for that frame; and display the rendered N frames sequentially to represent the snapshot of the scene. 15. The media of claim 14 , wherein the frame-specific factor is determined based on a position of the frame within the sequence of N frames. 16. The media of claim 15 , wherein the position of the frame within the sequence of N frames is determined by taking a modulo operation on a global frame sequence number corresponding to the frame with N. 17. The media of claim 14 , wherein the frame-specific factor within the sequence of N frames are distributed around zero within a range between −0.5 to +0.5. 18. A system comprising: one or more processors; and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to: receive instructions to render a snapshot of a scene for a video, wherein the snapshot is to be displayed using a sequence of N frames; compute, for a texture appearing in the scene, a mipmap-level determining factor based on a scale of the texture on a pixel grid; select, for each of the N frames, a mipmap level of the texture based on the mipmap-level determining factor and a frame-specific factor repeating at every N frames in the video, wherein the mipmap levels selected for the N frames are non-uniform and temporally approximate the mipmap-level determining factor; render each of the N frames by sampling the mipmap level of the texture selected for that frame; and display the rendered N frames sequentially to represent the snapshot of the scene.

Assignees

Inventors

Classifications

  • Perspective computation · CPC title

  • G06T19/006Primary

    Mixed reality (object pose determination, tracking or camera calibration for mixed reality G06T7/00) · CPC title

  • Eye characteristics, e.g. of the iris · CPC title

  • G06V20/20Primary

    in augmented reality scenes · CPC title

  • Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames · CPC title

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What does patent US11640699B2 cover?
In one embodiment, a method includes receiving instructions to render a snapshot of a scene for a video, where the snapshot is to be displayed using a sequence of N frames, computing a mipmap-level determining factor for a texture appearing in the scene based on a scale of the texture on a pixel grid, selecting a mipmap level of the texture for each of the N frames based on the mipmap-level det…
Who is the assignee on this patent?
Meta Platforms Tech Llc
What technology area does this patent fall under?
Primary CPC classification G06T19/006. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 02 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 7 related publications on this page (citations in our corpus or others sharing the same primary CPC).