A computer implemented wrinkle detection method, comprising: rotating, according to some or all preset angles in a preset angle set, a region of a face image, in which a wrinkle needs to be detected, to obtain a plurality of to-be-detected images, wherein the preset angle set comprises a plurality of preset angles, and values of the preset angles are different; determining wrinkle points from all pixel points of each of the to-be-detected images based on grayscale values of the pixel points in each of the to-be-detected images; determining at least one wrinkle line from the plurality of to-be-detected images based on the wrinkle points, wherein each of the at least one wrinkle line is used to indicate one wrinkle in each of the to-be-detected images; performing, for the at least one wrinkle line corresponding to each to-be-detected image, reverse rotation according to a preset angle based on which the to-be-detected image is obtained; fusing the rotated wrinkle lines into the region in which the wrinkle needs to be detected, to obtain a wrinkle line corresponding to the region in which the wrinkle needs to be detected, and displaying the wrinkle line in the region, wherein the method further comprises: determining a wrinkle score corresponding to the region based on a feature set of the displayed wrinkle line, wherein the feature set comprises the following features: a length of the wrinkle line, a width of the wrinkle line, and a contrast ratio value of a pixel point on the wrinkle line, and an area proportion of the wrinkle line, wherein the contrast ratio value is used to represent a contrast ratio of the pixel point on the wrinkle line, and the area proportion of the wrinkle line is used to represent a proportion of a quantity of pixels on the wrinkle line to a quantity of all pixels in the to-be-detected image; and outputting the wrinkle score, wherein the wrinkle score is determined according to the following formula: H = A × ω 1 + B × ω 2 + C × ω 3 + D × ω 4 + ω 5, wherein H is the wrinkle score, A is the length of the wrinkle line, B is the width of the wrinkle line, C is the contrast ratio value of the pixel point on the wrinkle line, D is the area proportion of the wrinkle line, ω1, ω2, ω3, and ω4 are preset parameters less than 0, and ω5 is a preset parameter. rotating, according to some or all preset angles in a preset angle set, a region of a face image, in which a wrinkle needs to be detected, to obtain a plurality of to-be-detected images, wherein the preset angle set comprises a plurality of preset angles, and values of the preset angles are different; determining wrinkle points from all pixel points of each of the to-be-detected images based on grayscale values of the pixel points in each of the to-be-detected images; determining at least one wrinkle line from the plurality of to-be-detected images based on the wrinkle points, wherein each of the at least one wrinkle line is used to indicate one wrinkle in each of the to-be-detected images; performing, for the at least one wrinkle line corresponding to each to-be-detected image, reverse rotation according to a preset angle based on which the to-be-detected image is obtained; fusing the rotated wrinkle lines into the region in which the wrinkle needs to be detected, to obtain a wrinkle line corresponding to the region in which the wrinkle needs to be detected, and displaying the wrinkle line in the region, wherein the method further comprises: determining a wrinkle score corresponding to the region based on a feature set of the displayed wrinkle line, wherein the feature set comprises the following features: a length of the wrinkle line, a width of the wrinkle line, and a contrast ratio value of a pixel point on the wrinkle line, and an area proportion of the wrinkle line, wherein the contrast ratio value is used to represent a contrast ratio of the pixel point on the wrinkle line, and the area proportion of the wrinkle line is used to represent a proportion of a quantity of pixels on the wrinkle line to a quantity of all pixels in the to-be-detected image; and outputting the wrinkle score, wherein the wrinkle score is determined according to the following formula: H = A × ω 1 + B × ω 2 + C × ω 3 + D × ω 4 + ω 5, wherein H is the wrinkle score, A is the length of the wrinkle line, B is the width of the wrinkle line, C is the contrast ratio value of the pixel point on the wrinkle line, D is the area proportion of the wrinkle line, ω1, ω2, ω3, and ω4 are preset parameters less than 0, and ω5 is a preset parameter. determining a wrinkle score corresponding to the region based on a feature set of the displayed wrinkle line, wherein the feature set comprises the following features: a length of the wrinkle line, a width of the wrinkle line, and a contrast ratio value of a pixel point on the wrinkle line, and an area proportion of the wrinkle line, wherein the contrast ratio value is used to represent a contrast ratio of the pixel point on the wrinkle line, and the area proportion of the wrinkle line is used to represent a proportion of a quantity of pixels on the wrinkle line to a quantity of all pixels in the to-be-detected image; and outputting the wrinkle score, wherein the wrinkle score is determined according to the following formula: H = A × ω 1 + B × ω 2 + C × ω 3 + D × ω 4 + ω 5, wherein H is the wrinkle score, A is the length of the wrinkle line, B is the width of the wrinkle line, C is the contrast ratio value of the pixel point on the wrinkle line, D is the area proportion of the wrinkle line, ω1, ω2, ω3, and ω4 are preset parameters less than 0, and ω5 is a preset parameter.