An information processing method and electronic device

Abstract

The invention discloses an information processing method and an electronic device. The electronic device comprises a first acquisition unit and a second acquisition unit. The information processing method comprises following steps: utilizing a first acquisition unit and a second acquisition unit to respectively acquire a first image and a second image of an object; setting up an energy function according to parallax field of the first image relative to the second image; calculating all pixel points and gradient values thereof within the first preset scope of pixel points; sequentially selecting N gradient values in a smallest order and utilizing pixel points corresponding to N gradient values as the direction for optimizing paths; calculating matching cost of each optimization path; setting up a semi-global energy function based on matching cost and an energy function; and calculating the parallax field corresponding to the object based on the semi-global energy function.

Description

technical field [0001] The present invention relates to information processing technology, in particular to an information processing method and electronic equipment. Background technique [0002] The difference in direction produced by observing the same object from two points at a certain distance is called parallax. The angle between two points seen from the target is called the parallax angle of the two points, and the distance between the two points is called the baseline. According to the parallax angle and the baseline length, the distance between the target and the observer can be calculated. Based on this principle, the binocular camera is used to collect images of the same object, and the depth information of the object can be calculated according to the parallax of the image. [0003] The acquisition parameters of the current binocular cameras are consistent, that is, the internal optical parameters and geometric characteristics of the binocular cameras are the ...

AI Technical Summary

Problems solved by technology

[0003] The acquisition parameters of the current binocular cameras are consistent, that is, the internal optical parameters and geometric characteristics of the binocular cameras are the same. When such binocular cameras are used to generate a disparity map using a semi-global matching method, the contour information of the disparity map is very blurred Rough, which will result in the subsequent acquisition of lower-precision depth information

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