Multi-view back-projection to a light-field

US10354399B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10354399-B2
Application numberUS-201715605037-A
CountryUS
Kind codeB2
Filing dateMay 25, 2017
Priority dateMay 25, 2017
Publication dateJul 16, 2019
Grant dateJul 16, 2019

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  1. Title

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  5. First independent claim

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Abstract

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Dense light-field data can be generated from image data that does not include light-field data, or from image data that includes sparse light-field data. In at least one embodiment, the source light-field data may include one or more sub-aperture images that may be used to reconstruct the light-field in denser form. In other embodiments, the source data can take other forms. Examples include data derived from or ancillary to a set of sub-aperture images, synthetic data, or captured image data that does not include full light-field data. Interpolation, back-projection, and/or other techniques are used in connection with source sub-aperture images or their equivalents, to generate dense light-field data.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for generating a reconstructed light-field, the method comprising: from a storage device, retrieving a first image depicting a light-field from a first viewpoint; in a processor, obtaining a first value of interest pertinent to the first image; and in the processor, using the first value of interest to generate the reconstructed light-field by extrapolating corresponding values, corresponding to the first value of interest, for a first plurality of other images; wherein: the first plurality of other images comprises at least a second image depicting the light-field from a second viewpoint, and a third image depicting the light-field from a third viewpoint; and using the first value of interest to extrapolate the corresponding values comprises: based on relative positions of the first viewpoint and the second viewpoint, extrapolating a second value of interest pertinent to the second image; and based on relative positions of the first viewpoint and the third viewpoint, extrapolating a third value of interest pertinent to the third image, wherein: the second viewpoint is displaced from the first viewpoint along a second direction; and the third viewpoint is displaced form the first viewpoint along a third direction opposite to the second direction, wherein: using the first value of interest to generate the reconstructed light-field further comprises extrapolating corresponding values, corresponding to the first value of interest, for a second plurality of other images; the second plurality of other images comprises at least a fourth image depicting the light-field from a fourth viewpoint, and a fifth image depicting the light-field from a fifth viewpoint; the fourth viewpoint is displaced from the first viewpoint along a fourth direction perpendicular to the second direction and the third direction; the fifth viewpoint is displaced from the first viewpoint along a fifth direction opposite to the fourth direction; and using the first value of interest to extrapolate the corresponding values comprises: based on relative positions of the first viewpoint and the fourth viewpoint, extrapolating a fourth value of interest pertinent to the fourth image; and based on relative positions of the first viewpoint and the fifth viewpoint, extrapolating a fifth value of interest pertinent to the fifth image. 2. The method of claim 1 , wherein the first value of interest comprises a depth of at least one object depicted in the first image. 3. The method of claim 2 , wherein: extrapolating the corresponding values, for the first plurality of other images comprises: back-projecting a second depth map for the second image; and back-projecting a third depth map for the third image; and the method further comprises using weighted averages of at least the second depth map and the third depth map to generate a reconstructed depth-field for objects within the reconstructed light-field. 4. The method of claim 1 , wherein the first value of interest comprises an image value of at least one portion of the first image. 5. The method of claim 4 , wherein extrapolating the corresponding values, for the first plurality of other images comprises: back-projecting a second light-field for the second image; back-projecting a third light-field for the third image; and using weighted averages of at least the second light-field and the third light-field to generate the reconstructed light-field. 6. The method of claim 4 , wherein extrapolating the corresponding values, for the first plurality of other images comprises: generating a reconstructed depth-field for objects within the reconstructed light-field; and using the reconstructed depth-field to back-project image values for the reconstructed light-field. 7. The method of claim 1 , further comprising, after generation of the reconstructed light-field, using the reconstructed light-field to project a new image from a new viewpoint. 8. The method of claim 1 , wherein: the first image comprises a first sub-aperture image projected from light-field data captured with a light-field camera; the second image comprises a second sub-aperture image projected from the light-field data; and the third image comprises a third sub-aperture image projected from the light-field data. 9. The method of claim 1 , wherein: the first image comprises first image data derived from a first sub-aperture image projected from light-field data captured with a light-field camera; the second image comprises second image data derived from a second sub-aperture image projected from the light-field data; and the third image comprises third image data derived from a third sub-aperture image projected from the light-field data. 10. The method of claim 1 , wherein each of the first image, the second image, and the third image consists exclusively of data generated without involving capture of image data by a camera. 11. The method of claim 1 , wherein each of the first image, the second image, and the third image comprises a conventional image captured with a camera that is not a light-field camera. 12. A non-transitory computer-readable medium for generating a reconstructed light-field, the non-transitory computer-readable medium comprising instructions stored thereon, that when executed by a processor, perform the steps of: causing a storage device to retrieve a first image depicting a light-field from a first viewpoint; obtaining a first value of interest pertinent to the first image; and using the first value of interest to generate the reconstructed light-field by extrapolating corresponding values, corresponding to the first value of interest, for a first plurality of other images; wherein: the first plurality of other images comprises at least a second image depicting the light-field from a second viewpoint, and a third image depicting the light-field from a third viewpoint; and using the first value of interest to extrapolate the corresponding values comprises: based on relative positions of the first viewpoint and the second viewpoint, extrapolating a second value of interest pertinent to the second image; and based on relative positions of the first viewpoint and the third viewpoint, extrapolating a third value of interest pertinent to the third image, wherein: the second viewpoint is displaced from the first viewpoint along a second direction; the third viewpoint is displaced form the first viewpoint along a third direction opposite to the second direction; using the first value of interest to generate the reconstructed light-field further comprises extrapolating corresponding values, corresponding to the first value of interest, for a second plurality of other images; the second plurality of other images comprises at least a fourth image depicting the light-field from a fourth viewpoint, and a fifth image depicting the light-field from a fifth viewpoint; the fourth viewpoint is displaced from the first viewpoint along a fourth direction perpendicular to the second direction and the third direction; the fifth viewpoint is displaced from the first viewpoint along a fifth direction opposite to the fourth direction; and using the first value of interest to extrapolate the corresponding values comprises: based on relative positions of the first viewpoint and the fourth viewpoint, extrapolating a fourth value of interest pertinent to the fourth image; and based on relative positions of the first viewpoint and the fifth viewpoint, extrapolating a fifth value of interest pertinent to the fifth image. 13. The non-transitory computer-readable medium of claim 12 , wh

Assignees

Inventors

Classifications

  • Light-field or plenoptic cameras or camera modules · CPC title

  • Images from lightfield camera · CPC title

  • using spatial multiplexing · CPC title

  • G06T7/557Primary

    from light fields, e.g. from plenoptic cameras · CPC title

  • Depth or disparity estimation from stereoscopic image signals · CPC title

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What does patent US10354399B2 cover?
Dense light-field data can be generated from image data that does not include light-field data, or from image data that includes sparse light-field data. In at least one embodiment, the source light-field data may include one or more sub-aperture images that may be used to reconstruct the light-field in denser form. In other embodiments, the source data can take other forms. Examples include da…
Who is the assignee on this patent?
Google Llc
What technology area does this patent fall under?
Primary CPC classification G06T7/557. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 16 2019 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 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).