一种基于面结构光的实时光强自适应解码方法

Real-time Light Intensity Adaptive Decoding Method Based on Surface Structured Light

摘要

在面结构光投影过程中,物体材质反射特性和拍摄角度导致邻域像素间相互影响,使得黑白投影区域的灰度值趋于近似,造成格雷码二值化解码时阈值难以确定,进而影响三维重建精度.为解决上述问题,提出一种基于面结构光的实时光强自适应解码方法,通过设计光强自适应解码算子与解码算法,在无需额外投影图像的情况下,实现对面结构光图像的高效解码.实验结果显示,该方法使VarG指标较传统方法分别降低了5.0、6.77,三维重建平均点云数量提升了7.27%、6.61%,测量误差降低了1.17%、1.83%,PCDU降低了0.57,0.77,显著提高了解码鲁棒性与重建精度.该方法支持即插即用,无需额外训练数据,具有较好的实用性与推广价值.

Abstract

In the structured light projection process,object material reflection characteristics and imaging angles cause mutual influence between neighboring pixels,making grayscale values in black and white projection regions tend to be similar,resulting in difficulties in determining thresholds for Gray code binary decoding,which consequently affects 3D reconstruction accuracy.To solve the above problems,a real-time intensity adaptive decoding method based on surface structured light is proposed.By designing intensity adaptive decoding operators and decoding algorithms,efficient decoding of surface structured light images can be achieved without the need for additional projected images.The experimental results show that this method enables VarG Compared with traditional methods,the indicators decreased by 5.0 and 6.77 respectively,the average number of point clouds in 3D reconstruction increased by 7.27% and 6.61%,the measurement errors decreased by 1.17% and 1.83%,and the PCDU decreased by 0.57 and 0.77,significantly improving the robustness of decoding and reconstruction accuracy.This method supports plug and play,does not require additional training data,and has good practicality and promotional value.

关键词

面结构光 / 三维重建 / 光强自适应解码 / 实时解码

Key words

surface structured light / 3D reconstruction / light intensity adaptive decoding / real-time decoding

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基金资助

辽宁省重点研发项目(2024JH2/102400027)资助;“兴辽英才计划”产业高端人才项目(XLYC2207077)资助.