Self-learning method and device capable of improving snap shot effect

Abstract

The invention provides a self-learning method capable of improving a snap shot effect. The self-learning method comprises the following steps: turning on a shooting function of an intelligent robot; executing a shooting operation based on a preset shooting condition parameter; acquiring preference data and a picture evaluation parameter specific to picture composition; performing machine learning on the picture evaluation parameter and the preference data specific to picture information, and modifying the preset shooting condition parameter based on a learning process in order to obtain an optimal shooting condition parameter for self-learning of the robot; and saving the optimal shooting condition parameter instead of the preset shooting condition parameter in order to perform a next shooting operation. Through adoption of the method, the storage space can be saved without manually deleting undesirable photos specially. Moreover, the intelligent robot can automatically delete undesirable pictures taken by a user or modifying the shooting parameter in a passive shooting scene.

Description

technical field [0001] The present invention relates to the field of information technology processing, in particular to a self-learning method and device for improving the snapshot effect. Background technique [0002] Whether it is designed for entertainment or for security monitoring, if the machine can automatically capture, the heavy work of the photographer will be replaced, and some important moments will be avoided. At present, some intelligent robots that have been developed have an automatic capture function, which can partially solve the above problems. In the shooting mode, the robot with automatic capture function will automatically track the movement of the target to keep it within the marked frame of the shooting screen, and trigger the shooting according to specific facial features, facial emotions, actions or special sounds, etc. to trigger the capture operation. [0003] However, in the prior art, the robot only automatically starts shooting based on the ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of poor self-portrait photos in the prior art, and the problem that a large number of photos with poor effects occupy storage space and time-consuming problems in the self-portrait scene, and provide a robot-oriented improved capture effect The self-learning method, described method comprises the following steps:

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