Method and ui for z depth image segmentation
US-2015104101-A1 · Apr 16, 2015 · US
US10354399B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10354399-B2 |
| Application number | US-201715605037-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 25, 2017 |
| Priority date | May 25, 2017 |
| Publication date | Jul 16, 2019 |
| Grant date | Jul 16, 2019 |
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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.
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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
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