Image acquisition method, device, system and storage medium

Abstract

Embodiments of the present application provide an image acquisition method, device, system, and storage medium, which relate to the technical field of computer vision. The method includes: acquiring the current pose of the target object relative to the acquisition device, wherein the target object is located on the movable device; acquiring the target preset pose of the target object relative to the acquisition device; , determine the movement parameters of the movable device corresponding to the change of the target object from the current pose to the target preset pose; control the movement of the movable device based on the move parameters, so that the pose of the target object relative to the acquisition device meets the target preset position posture; controlling the acquisition device to acquire images containing the target object. The embodiment of the present application can automatically control the movable device to move by acquiring the preset pose and current pose of the target object, so as to collect the image corresponding to the preset pose of the target object, which can reduce the time cost and manpower of image acquisition cost and improve the efficiency of image acquisition.

Description

technical field [0001] The present application relates to the technical field of computer vision, and more specifically, to an image acquisition method, device, system and storage medium. Background technique [0002] With the rapid development of science and technology, human-computer interaction technology has penetrated into all aspects of daily life. Among them, digital virtual humans are becoming more and more important in human-computer interaction technology. Digital virtual humans use virtual reality technology, human-computer interaction, A virtual image produced by high-precision 3D portrait simulation, artificial intelligence (AI), motion capture, facial expression capture and other technologies. Among them, when making a digital virtual human, it is necessary to obtain real-life images corresponding to preset conditions at different angles and distances for training. However, manual participation is usually required in the image acquisition process to acquire im...

AI Technical Summary

Problems solved by technology

However, in the process of image acquisition, manual participation is usually required to acquire images that meet the preset conditions, so a lot of time and labor costs will be spent, resulting in low image acquisition efficiency.

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