A 3D reconstruction method for automatic matching of texture image encoding and decoding

Abstract

The invention discloses a three-dimensional reconstruction method based on texture-coded images, which includes: step 1, projecting a color-coded image generated by M-array coding onto an object to be measured, and using a camera to photograph the region to be measured to obtain left and right images. In step 2, the target area is extracted based on the Hough circle detection method and the principle of perspective transformation, so as to avoid the influence of environmental debris on the projection area. Step 3, image enhancement based on color migration technology and color recognition preprocessing, converting the color information of the image into code values. Step 4, direct decoding for M-array encoding method to obtain matching point pairs. Step 5, using the obtained point pairs with the same name, perform 3D reconstruction based on the principle of stereo vision, and obtain the 3D coordinates of the spatial points corresponding to the 2D points. The present invention combines spatial codec and binocular vision structured light three-dimensional reconstruction technology to improve the speed and accuracy of three-dimensional reconstruction, and provides a new idea for high-efficiency three-dimensional reconstruction under the premise of maintaining a high degree of simulation.

Description

technical field [0001] The invention belongs to the field of image coding and decoding and three-dimensional reconstruction of structured light. The left and right images with enhanced texture are obtained by shooting the object to be tested with a projected coding pattern, and the same-name points of the left and right images are directly positioned by a decoding algorithm, so as to realize fast and high-precision three-dimensional reconstruction. Background technique [0002] With the gradual development of science and technology, computer vision technology has also been continuously improved, and the 3D reconstruction technology has been developed at a high speed, gradually becoming more and more perfect, and has been widely and effectively applied in various fields. However, the traditional 3D reconstruction method is subject to many restrictions in production practice. How to ensure the robustness of the matching in the 3D reconstruction process so as to make the reconst...

AI Technical Summary

Problems solved by technology

However, the traditional 3D reconstruction method is subject to many restrictions in production practice. How to ensure the robustness of the matching in the 3D reconstruction process so as to make the reconstruction more reliable and improve the efficiency of the reconstruction process is currently the research of scholars in related fields. focus

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