A 3D Model Generation Method

Abstract

The invention provides a three-dimensional model generation method comprising: the first step: using 3D information collection equipment to collect multiple groups of images of the target object; the second step: performing image enhancement processing on all input photos; the third step: performing image enhancement processing on all input photos Extract feature points from the image, and perform feature point matching to obtain sparse feature points; the fourth step: input the matched feature point coordinates, solve the sparse 3D point cloud of the face and the position and attitude data of the image acquisition device, and obtain Sparse target model 3D point cloud and model coordinate value of position; use sparse feature points as the initial value, perform dense matching of multi-view images, and obtain dense point cloud data; Step 5: use dense point cloud to reconstruct the target surface; Step 6: Carry out texture mapping on the target model. For the first time, it is proposed to increase the synthesis speed and synthesis accuracy by adding the way that the background plate rotates with the camera to cooperate with the optimized algorithm.

Description

technical field [0001] The invention relates to the technical field of shape measurement, in particular to the technical field of 3D shape measurement. Background technique [0002] When performing 3D measurement, using 3D measurement data for processing and manufacturing, or using 3D data for display and identification, a relatively accurate 3D model should first be established for the target object. The currently commonly used methods include using machine vision to collect pictures of objects from different angles, and matching and splicing these pictures to form a 3D model. When collecting pictures from different angles, multiple cameras can be set at different angles of the object to be tested, and pictures can also be collected from different angles by rotating a single or multiple cameras. But no matter which of these two methods, it involves the problems of synthesis speed and synthesis accuracy. To some extent, the synthesis speed and synthesis accuracy are a pair...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is found that unless there is an accurate angle measurement device, the user is not sensitive to the angle, and it is difficult to determine the angle accurately; the size of the target object is difficult to accurately determine, especially in some applications where the target object needs to be replaced frequently. A lot of extra work is required, and professional equipment is required to accurately measure irregular targets

Measurement errors lead to camera position setting errors, which will affect the speed and effect of acquisition and synthesis; the accuracy and speed need to be further improved

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