Three-dimensional model generation method for background plate synchronous rotation collection

Abstract

The invention provides a three-dimensional model generation method for background plate synchronous rotation collection. The method comprises the following steps: step 1, collecting multiple groups ofimages of a target object by using 3D information collection equipment; 2, performing image enhancement processing on all the input photos; 3, feature point extraction is carried out on all input images, feature point matching is carried out, and sparse feature points are obtained; 4, inputting matched feature point coordinates, and resolving the position and attitude data of the sparse human face three-dimensional point cloud and the image collection device to obtain model coordinate values of the three-dimensional point cloud and the position of the sparse target object model; by taking thesparse feature points as initial values, carrying out dense matching on the multi-view images to obtain dense point cloud data; 5, reconstructing the curved surface of the target object by using thedense point cloud; and 6, performing texture mapping on the target object model. The mode that the background plate rotates along with the camera is added to be matched with the optimized algorithm toimprove the synthesis speed and the synthesis precision for the first time.

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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