Image depth prediction method and electronic device

An electronic device, wherein the electronic device comprises:

• at least one processor;
• and
• at least one processor memory coupled to the at least one processor to store program instructions, which when executed by the at least one processor, cause the at least one processor to:
• obtain a primary view and a first secondary view, wherein the primary view and the first secondary view are images photographed by a camera facing a first object at different angles, the primary view comprises a first pixel corresponding to a second pixel at a first assumed depth, and the second pixel is located on the first secondary view;
• update feature information of the second pixel based on the feature information of the second pixel and feature information of at least one third pixel, wherein the at least one third pixel is located on a connection line between the second pixel and a fourth pixel, the fourth pixel is a pixel that corresponds to the first pixel at a second assumed depth and that is on the first secondary view, the second assumed depth and the first assumed depth are adjacent in preset D assumed depths, and D is a positive integer greater than 1;
• and
• obtain a probability of the first assumed depth based on feature information of the first pixel and the updated feature information of the second pixel, wherein the probability of the first assumed depth indicates a possibility that the first assumed depth is a real depth of the first pixel.

Anon-transitory computer-readable storage medium, storing one or more instructions that, when executed by at least one processor, cause the at least one processor to:

• obtain a primary view and a first secondary view, wherein the primary view and the first secondary view are images photographed by a camera facing a first object at different angles, the primary view comprises a first pixel corresponding to a second pixel at a first assumed depth, and the second pixel is located on the first secondary view;
• update feature information of the second pixel based on the feature information of the second pixel and feature information of at least one third pixel, wherein the at least one third pixel is located on a connection line between the second pixel and a fourth pixel, the fourth pixel is a pixel that corresponds to the first pixel at a second assumed depth and that is on the first secondary view, the second assumed depth and the first assumed depth are adjacent in preset D assumed depths, and D is a positive integer greater than 1;
• and
• obtain a probability of the first assumed depth based on feature information of the first pixel and the updated feature information of the second pixel, wherein the probability of the first assumed depth indicates a possibility that the first assumed depth is a real depth of the first pixel.