Method for correcting depth image, terminal device and computer storage medium

Abstract

The embodiment of the present application discloses a depth image correction method, a terminal device, and a computer storage medium. The method includes: acquiring an original image corresponding to a target object, and a primary color image and a secondary color image corresponding to the target object; wherein, the original image is According to the acquisition of the target object by the time-of-flight TOF sensor, the main color image and the sub-color image are obtained based on the acquisition of the target object by the dual cameras; according to the main color image and the sub-color image, the target object is determined by using the preset dual-camera algorithm Corresponding first depth information and first confidence degree; according to the original image, determining second depth information corresponding to the target object; based on the first depth information, the second depth information and the first confidence degree, determining an error in the first depth information Data area: performing correction processing on the error data area through the second depth information and the main color image to obtain target depth information, and obtain a depth image according to the target depth information.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a method for correcting a depth image, a terminal device, and a computer storage medium. Background technique [0002] With the rapid development of smart terminals, mobile phones, handheld computers, digital cameras, video cameras and other terminal devices have become an indispensable tool in users' lives, and have brought great convenience to all aspects of users' lives. Existing terminal equipment basically has a camera function, and users can use the terminal equipment to take various images. [0003] When capturing images with a blur effect, it is usually required that the terminal device be equipped with dual cameras. Obtaining depth (depth) information through dual cameras, although the structure is simple, the hardware power consumption is low, and the resolution is high, there are still defects, such as poor adaptability to scenes such as no text...

AI Technical Summary

Problems solved by technology

Obtaining depth (depth) information through dual cameras, although the structure is simple, the hardware power consumption is low, and the resolution is high, there are still defects, such as poor adaptability to scenes such as no texture, repeated texture, overexposure, underexposure, etc., resulting in The accuracy of the obtained depth information is low, which affects the effect of portrait blur

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