Depth map processing method, device and electronic equipment

Abstract

The present application proposes a depth map processing method, device, and electronic equipment, wherein the method includes: acquiring a depth map collected by a depth sensor and an imaging map collected by an image sensor; identifying the scene type according to the depth map and the imaging map; , to filter the depth map. Thus, it is realized that according to different scene types, adaptively select a filtering method to filter the depth map, so as to output a high-quality depth map, thereby improving the quality of the depth map.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to a depth image processing method, device and electronic equipment. Background technique [0002] Currently, in order to improve the quality of the depth map, the depth map can be filtered. In the prior art, the depth map is filtered through filtering algorithms such as bilateral filtering, anisotropic filtering, and filtering based on a fixed threshold. [0003] However, in practical application scenarios, there are often many uncertainties, such as different ambient lighting, different distances from the background and foreground to the Time of Flight (TOF) camera, etc., the above filtering algorithm requires the user to Make reasonable parameter settings for specific scenarios. In this way, it is very difficult for users who have no relevant professional experience or application developers who only use the depth map, which may lead to many flying pixel...

AI Technical Summary

Problems solved by technology

[0003] However, in practical application scenarios, there are often many uncertainties, such as different ambient lighting, different distances from the background and foreground to the Time of Flight (TOF) camera, etc., the above filtering algorithm requires the user to Make reasonable parameter settings for specific scenarios

In this way, it is very difficult for users who have no relevant professional experience or application developers who only use the depth map, which may lead to many flying pixels in the filtered depth map, affecting subsequent image processing

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