Structure light coding, decoding method as well as coding and decoding device

Abstract

The invention discloses a structured light decoding method and a structured light decoding device, wherein the structured light decoding method includes: determining boundary dots between different lines from a structured light image; determining the width of the line according to the positions of the boundary dots at both sides of each line; analyzing a basic coding unit based on width variation between two light and dark lines which are arranged according to an order; analyzing basic row codes corresponding to arbitrary adjacent N basic coding units based on a neighborhood relation of the basic coding units, and acquiring a coding sequence of the structured light according to the basic row codes, wherein N is an integer more than 1. The technical scheme disclosed by the invention can improve the decoding efficiency.

Description

technical field [0001] The invention relates to a structured light decoding method and a structured light decoding device. Background technique [0002] In the fields of computer vision, robotics, and computer graphics, it is usually necessary to obtain spatial information such as the shape of a three-dimensional object in order to perform real three-dimensional reconstruction of the object in the computer. [0003] In order to obtain the spatial information of the three-dimensional target, the method of projecting structured light through the grating is often used at present. In this method, the projected beam forms structured light on the three-dimensional measured target through grating projection according to the spatial structured light code, and the spatial information of the measured target After structured light encoding into fringe patterns, these deformed fringes are recorded by a camera at a certain angle to the projection center, and the measurement information o...

AI Technical Summary

Problems solved by technology

Most of these methods are encoded based on two-dimensional information. Therefore, when decoding, it is necessary to identify these basic coding units in the two-dimensional space of the structured light image, that is, to extract the above-mentioned grid points or black and white in the cube. pixels, and when extracting grid points in two-dimensional space, the color of the grid points is easily disturbed; when extracting squares in two-dimensional space, it is difficult to extract because the square is easily affected by deformation, which will inevitably cause decoding less efficient

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