刘今越, 马旭哲, 崔月盟, 薛路明, 李铁军. 基于自适应插值滤波的室内环境高速重建系统[J]. 红外与激光工程, 2022, 51(8): 20210625. DOI: 10.3788/IRLA20210625
引用本文: 刘今越, 马旭哲, 崔月盟, 薛路明, 李铁军. 基于自适应插值滤波的室内环境高速重建系统[J]. 红外与激光工程, 2022, 51(8): 20210625. DOI: 10.3788/IRLA20210625
Liu Jinyue, Ma Xuzhe, Cui Yuemeng, Xue Luming, Li Tiejun. High speed reconstruction system for indoor environments based on an adaptive interpolation filter[J]. Infrared and Laser Engineering, 2022, 51(8): 20210625. DOI: 10.3788/IRLA20210625
Citation: Liu Jinyue, Ma Xuzhe, Cui Yuemeng, Xue Luming, Li Tiejun. High speed reconstruction system for indoor environments based on an adaptive interpolation filter[J]. Infrared and Laser Engineering, 2022, 51(8): 20210625. DOI: 10.3788/IRLA20210625

基于自适应插值滤波的室内环境高速重建系统

High speed reconstruction system for indoor environments based on an adaptive interpolation filter

  • 摘要: 针对室内环境重建过程中的光源干扰,以及相移条纹投影过程中因产生Gamma变换造成相位展开时包裹相位周期与格雷码级次周期无法保持严格一致,从而出现相位值跳变的问题,提出一种基于自适应插值滤波的抗全局光照重建方法,并利用高速投影方式将光源干扰的影响程度降低。首先向被测环境表面投影二值离焦相移条纹与高频格雷码条纹,利用希尔伯特变换以及高频解码方法求解展开相位;其次运用自适应插值滤波算法对存在跳变的展开相位进行修复;最后还原被测物体的形貌特征。通过分析跳变点类型针对性地对其进行插值滤波,消除相位跳变、避免重复相位的产生。与传统全局中值滤波方法相比较,笔者的方法可以在精度更高的条件下同时将效率提高90%,达到了高速高质量室内环境重建的目的。

     

    Abstract: In view of light interference during indoor environment reconstruction, and phase value jump problem that occurred from the disaccord between the wrapped phase cycle and Gray-Code class cycle in phase unwrapping because of Gamma transformation in process of fringe projection and phase shift, an anti-global illumination reconstruction method based on adaptive interpolation filtering was proposed. The high speed projection method was used to reduce the influence of light source interference. Firstly, the binary defocused phase shift fringes and high frequency gray code fringes were projected onto the surface of the environment to be measured. Hilbert transform and high frequency decoding were used to solve the unwrapping phase. Secondly, the adaptive interpolation filtering algorithm was adopted to repair the unwrapping phase containing phase jumps. Finally, the morphological features of the environment to be measured were restored. The types of jump points were analyzed, and the interpolation filtering was selectively carried out to eliminate the phases jump and avoid the generation of repeated phase. Compared with other global filtering methods, our method can improve the efficiency by 90% under the condition of higher accuracy, and achieve the goal of high-speed and high-quality indoor environment reconstruction.

     

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