Texture image coding and decoding automatic matching three-dimensional reconstruction method

Abstract

The invention discloses a texture coding image-based three-dimensional reconstruction method, and the method comprises the following steps: 1, projecting a color coding image generated through the coding of an M array to a to-be-measured object, and shooting a to-be-measured region through a camera, and obtaining a left image and a right image; and 2, extracting a target area based on a Hough circle detection method and a perspective transformation principle so as to avoid the influence of environmental sundries on a projection area. Step 3, performing image enhancement and color identification preprocessing based on a color migration technology, and converting color information of the image into a code value; and step 4, directly decoding for an M array coding method to obtain matching point pairs. And step 5, performing three-dimensional reconstruction based on a stereoscopic vision principle by using the obtained homonymy point pairs to obtain three-dimensional coordinates of the spatial points corresponding to the two-dimensional points. According to the invention, space coding and decoding and binocular vision structured light three-dimensional reconstruction technologies are combined, the three-dimensional reconstruction speed and precision are improved, and a new thought is provided for high-efficiency three-dimensional reconstruction on the premise that the high simulation degree is kept.

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

Images