Infrared camera exposure adjustment method and device, electronic equipment and storage medium

Abstract

The invention provides an infrared camera exposure adjustment method and device, electronic equipment and a storage medium, and belongs to the technical field of deep sensing detection. The infrared camera exposure adjustment method comprises the following steps: acquiring a brightness value of a current picture output by an infrared camera of a 3D structured light module; judging whether the absolute value of the difference value between the brightness value of the current picture and a preset reference brightness value meets a preset value or not, wherein the depth data of the picture corresponding to the preset reference brightness value meets the precision requirement; if not, adjusting the exposure value of the infrared camera, and obtaining the brightness value of the current pictureoutput by the infrared camera of the 3D structured light module again; if so, determining the exposure value of the infrared camera corresponding to the current picture as a target exposure value. The infrared camera is enabled to shoot images of to-be-measured objects with different distances in a working range and maintain good brightness so that depth calculation of the 3D structured light module in the working range is enabled to always meet the precision requirement.

Description

technical field [0001] The present invention relates to the technical field of depth sensing, in particular to a method, device, electronic equipment and storage medium for adjusting the exposure of an infrared camera. Background technique [0002] With the rise and explosion of face unlocking and face payment functions, the application of 3D structured light modules is becoming more and more widespread; in the current 3D structured light modules on the market, infrared cameras all exist within the entire working range to shoot near The picture of the object to be tested is too bright, and the picture of the object to be tested in the distance is too dark. Therefore, the current 3D structured light modules on the market only maintain a high depth calculation accuracy within a certain area within the working range (such as about 0.6m), which meets the accuracy requirements and has a high face recognition rate. The accuracy of too far depth calculations is low, which does not...

AI Technical Summary

Problems solved by technology

Therefore, the 3D structured light modules currently on the market can only maintain a high accuracy of depth calculation within a certain area within the working range (such as about 0.6m), which meets the accuracy requirements, and has a high face recognition rate. The accuracy of too far depth calculation is low, which does not meet the accuracy requirements, resulting in low accuracy of 3D modeling and unrecognizable faces

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