A method of rapid construction of 3D model based on image screening

Abstract

An embodiment of the present invention provides a method for image matching in the process of building a three-dimensional model, including: step 1: determining the source image n to be matched; step 2: screening images n-1...n-m adjacent to the source image n and n+1...n+m; Step 3: Perform matching calculation on the selected 2m+1 images; Step 4: Repeat the above steps 2-3 for the remaining source images to be matched, and finally complete the matching of all images. For the first time, it is the first time for the surrounding acquisition scheme of the limited target object, and proposes to reduce the calculation difficulty and time of the matching algorithm by screening adjacent pictures, taking into account the synthesis speed and accuracy.

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. These 3D models can be regarded as the digitization of real things, and these data can be used to process and manufacture matching objects that match the target. For example, 3D data of human feet can be collected to make more suitable shoes. In addition, these data can also be used for identity verification. For example, after synthesizing the 3D model of the human iris, it can be used as identity...

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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