A three-dimensional face reconstruction system and its application method

Abstract

The invention belongs to the technical field of computer vision, and specifically relates to a three-dimensional face reconstruction system and an application method thereof. A linear motor, one side of the first linear motor is provided with an arc-shaped guide rail horizontally, a second linear motor is installed in the arc-shaped guide rail, an arc-shaped rod is arranged horizontally on the second linear motor, and multiple cameras are evenly distributed on the arc-shaped rod. The signal output terminals of each camera are connected to the three-dimensional reconstruction computer through data lines. The beneficial effects of the present invention are: saving time for taking photos, and good face reconstruction effect; multiple cameras can take multiple shots of faces at different angles, instead of the larger number of surrounds currently set for one-time shooting of the whole face The face camera reduces excessive costs; the 3D model is more realistic and detailed; the 3D reconstruction computer automatically controls the shooting, data transmission and processing, which is fast and convenient, and improves work efficiency.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a three-dimensional face reconstruction system and an application method thereof. Background technique [0002] 3D face reconstruction has a very broad application prospect in the fields of movies, games, cosmetic medicine, etc. In recent years, it has gradually become a research hotspot in the field of vision. Therefore, it is very beneficial to study a faster and lower cost 3D face reconstruction system for its application. [0003] Most existing face 3D reconstruction systems use structured light, and the scanning equipment is expensive. The 3D face reconstruction system based on sequential images is low in cost and has broad application prospects. However, the 3D face reconstruction based on sequence images requires multiple face photos. If a camera is used to take pictures one by one, it takes a long time to take pictures, and it is difficult for people ...

AI Technical Summary

Problems solved by technology

However, the 3D face reconstruction based on sequence images requires multiple face photos. If a camera is used to take pictures one by one, it takes a long time to take pictures, and it is difficult for people to keep facial expressions unchanged for a long time. Slight facial expressions Changes can make the reconstruction result less than ideal

If multiple cameras take pictures around the face at the same time, many cameras are needed, which will increase the cost too much

In addition, photos need to be manually input into the system, which is inefficient. In addition, the shooting process is also very troublesome; and the reconstructed 3D model is not realistic and detailed

This greatly limits its development prospects

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