A three-dimensional human body reconstruction method and system and a medium

Abstract

The invention belongs to a three-dimensional human body reconstruction method in the technical field of computers. The method comprises the following steps of 1, interactively shooting by parts; 2, constructing an initial human body shape, namely a rough mold; 3, establishing a first point cloud coordinate matrix; 4, extracting the feature point coordinates of the close-up part; 5, establishing asecond point cloud coordinate matrix; 6, carrying out the smooth fitting repair, and transferring and storing a file in a 3D model file format; and step 7, completing three-dimensional remodeling according to the file in the 3D model file format. The high-precision three-dimensional human body model of the shot target human body can be rapidly constructed by continuously shooting a group of commonphoto sets partially covering the shooting surface at different sight distance and supplementing the common photo sets to the local close-up photos.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a method for three-dimensional reconstruction of a high-precision human body. Background technique [0002] The 3D reconstruction of the human body has important applications in many fields, but due to business differences, the accuracy requirements of different parts will be different, and the corresponding local fineness will also have different demands. However, the reconstruction speed is also very important for the user experience. How to accelerate the reconstruction? For parts with demanding dimensional accuracy and variable due to individual differences, it ensures efficient and fast modeling of the overall calculation, and flexibly improves the fineness of any body part according to the needs of business and individual signs. [0003] At present, there are mainly three methods on the market, (1) Scanning once with a high-precision laser, and then reconstruc...

AI Technical Summary

Problems solved by technology

These three have their own advantages, but in terms of human body size mapping, the acceptable scanning time within half a minute, and the best shooting distance of 1 meter, the unique optical components of the first type are expensive and stable in accuracy Regular manual intervention is required. After fixed installation, the single-scanning speed is the fastest, but it is susceptible to interference from external ambient light and object reflections. It needs to calibrate equipment and levels from time to time, and the global accuracy is uniformly fixed. Some weak precision requirements still provide high Accurate point cloud, thus affecting the efficiency of subsequent calculations; the second type of 3D information extraction takes a long time, cloud computing puts too much pressure on the cost of computing power unit, and cannot solve the bottleneck of computing tasks running on operation and maintenance, and the accuracy of the surface is difficult to improve, which affects information The security and continuity of transmission to the cloud have high requirements; the third type relies on proprietary infrared characteristics. Within the reliable line-of-sight range of existing infrared sensors, the accuracy of depth information of photographed objects is limited by hardware. The color dependence on the target is large, and equipment and levels need to be calibrated from time to time

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