A Fast Registration Method of Multi-view Image and 3D Model

Abstract

The invention belongs to the field of close-range photogrammetry and relates to a rapid registering method of multiple images and a three-dimensional model. The method comprises steps of image shooting, three-dimensional corresponding point selection, relational graph establishment, calculation of initial value of registering parameter, registering parameter optimization according to least square method to obtain accurate registering parameter and the like. In allusion to the defect that practicability of methods in the prior art is greatly limited by time efficiency and body surface texture, the rapid registering method of the multiple images and the three-dimensional model in the invention is improved, and revolutionary innovation is achieved. By the method, rapid registering between the multiple images and the three-dimensional model can be realized. Registering accuracy directly influences quality of texture mappings, and accuracy is high. Thus, textures are clear, the visual effect is greatly raised, and higher requirements of people on the quality of a three-dimensional model are met. The method has a good application prospect in the field of close-range photogrammetry.

Description

technical field [0001] The invention belongs to the field of close-range photogrammetry and relates to a rapid registration method of multi-view images and three-dimensional models. Background technique [0002] With the development of commercial products such as laser scanning and structured light scanning to quickly obtain 3D models of objects, people have put forward higher requirements for the quality of 3D models, that is, 3D models with high-definition texture maps. To obtain high-definition texture maps, the first task is the registration of high-definition images and 3D models, and the most critical issues in registration are registration accuracy and registration speed. The accuracy of registration directly affects the quality of texture maps. Low accuracy will cause large texture dislocations and seriously affect the visual effect. The speed of registration is directly related to the practicability of the method. If the registration time is much longer than that of...

AI Technical Summary

Problems solved by technology

First of all, this method is very inefficient, and the time of the whole process is much longer than the time required for 3D reconstruction such as laser scanning and structured light scanning; There will be a large number of failures in photogrammetry; again, generating dense matching point clouds requires objects to have sufficiently rich textures, objects lacking textures, specular objects, and objects with repeated textures will cause dense matching to fail

Therefore, the practicality of this method is greatly limited by the time efficiency and the texture of the object surface

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