US 11,949,848 B2
Techniques to capture and edit dynamic depth images
Mira Leung, Seattle, WA (US); Steve Perry, Mountain View, CA (US); Fares Alhassen, Redwood Shores, CA (US); Abe Stephens, San Mateo, CA (US); and Neal Wadhwa, Mountain View, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Appl. No. 17/422,734
Filed by Google LLC, Mountain View, CA (US)
PCT Filed Nov. 19, 2019, PCT No. PCT/US2019/062156
§ 371(c)(1), (2) Date Jul. 13, 2021,
PCT Pub. No. WO2020/205003, PCT Pub. Date Oct. 8, 2020.
Claims priority of provisional application 62/827,739, filed on Apr. 1, 2019.
Prior Publication US 2022/0132095 A1, Apr. 28, 2022
Int. Cl. H04N 13/271 (2018.01); G06T 7/55 (2017.01)
CPC H04N 13/271 (2018.05) [G06T 7/55 (2017.01); G06T 2207/10028 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
capturing image data using one or more cameras, wherein the image data includes a primary image and associated depth values;
encoding the image data in an image format, wherein the encoded image data includes:
the primary image, encoded in the image format; and
image metadata that includes:
a device element that includes a profile element indicative of an image type; and
a first camera element, wherein the first camera element includes an image element and a depth map based on the depth values, wherein the depth map comprises a plurality of pixel values, each pixel value indicative of a respective distance from a particular camera of the one or more cameras and a lens focal model that defines a respective radius value of a circle of confusion corresponding to a plurality of distances from the particular camera;
after the encoding, storing the image data in a file container based on the image format; and
causing the primary image to be displayed.