Method and device for image analysis

An image analysis and technology to be analyzed, applied in the field of image analysis, can solve the problems of lack of universality and one-sidedness of image analysis, and achieve the effect of overcoming the lack of universality

CN104978553BActive Publication Date: 2019-05-28TENCENT TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2019-05-28

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Abstract

The invention discloses an image analysis method and device, relates to the field of data processing and can solve the problem that image analysis lacks of universality and is partial. The method comprises the following steps: independently identifying each picture in a preset picture set to obtain a feature weight vector of each picture, wherein the feature weight vector is used for representing at least one feature point interval which performs a main function on a picture score and a ratio of each feature point interval; according to the feature weight vector of each picture, determining an approximation degree between each picture and the picture to be analyzed; according to the approximation degree, looking up at least one picture similar to the picture to be analyzed from the preset picture set; obtaining the score of each picture in the preset picture set; and according to the score of at least one picture and the approximation degree of at least one picture, calculating the score of the picture to be analyzed. The image analysis method and device is mainly applied to a process of image recognition and evaluation.
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Description

technical field

[0001] The invention relates to the field of data processing, in particular to an image analysis method and device. Background technique

[0002] With the development of image recognition and analysis technology, when the face in the image is recognized at present, the image is first recognized to obtain a number of feature points, and the value representing the facial features is calculated according to the feature points. For example, facial feature values ​​such as eye size and distance between two eyes can be obtained according to feature points representing eyes. Compare the obtained facial feature value with the preset value to realize the analysis of the image.

[0003] In the process of realizing the above image analysis, the inventor found at least the following problems in the prior art: the preset value will have a direct impact on the image analysis result, but because the preset value is often guessed by the programmer, there is a lack of Unive...

Examples

Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] Embodiments of the present invention provide a method for image analysis, such as figure 1 As shown, the method includes:

[0031] Step 101: Identify each picture in the preset picture set to obtain a feature weight vector of each picture, and the feature weight vector is used to represent at least one feature point distance that plays a major role in picture scoring and the proportion of each feature point distance.

[0032] The preset picture set is saved...