Three-dimensional reconstruction method based on coding structured light

Abstract

The invention discloses a three-dimensional reconstruction method based on coding structured light, comprising the following steps: 1) projecting structured light to an object to be measured, and capturing an image modulated by the object to be measured by a camera; 2) matching an optical template, comprising: (2.1) positioning the optical strip boundary, scanning along each row of the image, determining a pixel point with strong gray variation as a candidate marginal point, and searching a local domain; and (2.2) matching the optical strip: adopting a color cluster method to build a color matching proper vector, comparing image color with a projected color, and defining Euclidean distance between the color proper vector and the cluster center to distribute the colors of red, green, blue and white of the candidate optical strip; and 3) using a calibrated system parameter for three-dimensional reconstruction of the object to be measured, determining the relation between a space point coordinate and the image coordinate point thereof by the calibrated conversion matrix parameter; and restoring three-dimensional spatial coordinate from the image coordinate of a feature point. The invention can simplify calculation process and has high matching precision and high reconstruction precision.

Description

technical field [0001] The invention relates to computer vision, data processing, and image processing, especially a three-dimensional reconstruction method based on coded structured light. Background technique [0002] The purpose of computer vision is to represent and understand a wide variety of image inputs. In the past two decades, the three-dimensional contour reconstruction of objects has been one of the important purposes of computer vision. There are many realization methods of 3D object contour reconstruction and measurement technology, mainly including contact and non-contact methods. Non-contact measurement is mainly divided into two categories, one is optical methods, and the other is methods other than optics. [0003] Optical method measurement can be divided into two categories: active and passive. The former generates an image by the radiation signal of the object or the signal reflected by the surface of the object, and the imaging device does not send o...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the disadvantages of complex calculation, low matching accuracy and low reconstruction accuracy of existing 3D reconstruction methods of visual imaging systems, the present invention provides a 3D reconstruction based on coded structured light that simplifies the calculation process, has high matching accuracy and high reconstruction accuracy method

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