Automatic focusing method and automatic focusing device

Abstract

The invention provides an automatic focusing method and an automatic focusing device. The automatic focusing method is suitable for the automatic focusing device, and includes: selecting a target object, and using first and second image sensors to photograph the target object so as to generate a first image and a second image; performing three-dimensional depth estimation according to the first image and the second image so as to generate a three-dimensional depth map; performing optimization processing on the three-dimensional depth map so as to generate an optimized three-dimensional depth map; judging depth information corresponding to the target object according to the optimized three-dimensional depth map, and obtaining a focusing position of the target object according to the depth information; and driving the automatic focusing device to execute an automatic focusing program according to the focusing position.

Description

technical field [0001] The present invention relates to an automatic focusing technology, and in particular to an automatic focusing method and an automatic focusing device using a stereo vision image processing technology. Background technique [0002] Digital cameras have a fairly sophisticated and complex mechanical structure, which further enhances the functionality and handling of the camera. In addition to factors such as the shooting skills of the user and the influence of the surrounding environment, the built-in Auto Focus (AF) system of the digital camera also has a considerable impact on the quality of the captured image. [0003] Generally speaking, auto-focus technology means that a digital camera will move the lens to change the distance between the lens and the subject, and corresponding to different lens positions to calculate the focus evaluation value of the subject picture (hereinafter referred to as the focus value) , until the maximum focus value is fou...

AI Technical Summary

Problems solved by technology

However, generally speaking, when the current stereo vision technology image processing is used to obtain the three-dimensional seat position information of each pixel point in the image, it is often unable to accurately locate the position of each point in the image

Since it is difficult to identify the relative depth in areas without texture and flat areas, it is impossible to accurately obtain the depth information of each point, which may cause holes in the 3D depth map

In addition, if the autofocus technology is applied to handheld electronic devices (such as smart phones), in order to reduce the size of the product, its stereo vision baseline (stereo baseline) usually needs to be reduced as much as possible, so that accurate positioning will be more difficult , and may lead to the increase of holes on the 3D depth map, which in turn affects the execution of subsequent image focusing procedures

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