基于红外结构光的三维人脸建模

Infrared Structured Light for 3D Face Reconstruction

  • 摘要: 在基于结构光的双目三维人脸重建中,容易丢失细节处数据和建模精度较低,导致三维人脸数据完整度不高,对三维人脸识别较差。本文研究了基于红外条纹的双目三维照相机系统,通过投射红外条纹结构光,根据相移法将生成包裹相位,利用三频法得到绝对相位,生成视差图,得到三维人脸模型。实验表明,基于红外的哑铃规球心测距误差在0.1%以内,人脸精度在0.1mm内。在眼睛,眉毛等弱纹理区数据缺失较少,优于基于可见光的三维建模,并且人脸模型更平滑更能反映人脸的真实三维形状。通过对比投射红外与可见光的性能,为三维人脸重建未来研究分析提供技术和算法上的参考。

     

    Abstract: In structured-light 3D face reconstruction, it is easy to lose detailed data and obtain reduced modeling accuracy, which leads to low integrity and poor recognition of 3D faces. In this study, a binocular three-dimensional camera system based on an infrared fringe is developed. The wrapped phase is generated using the phase-shift method by projecting infrared fringe-structured light. The absolute phase is obtained using the three-frequency method, and a parallax diagram is generated to obtain a three-dimensional face model. Experiments reveal that measurement errors for the distance of sphere centers are less than 0.1% when measuring standard spheres, and face accuracy is within 0.1 mm. For the eyes, eyebrows, and other areas with weak texture, data loss is reduced, which is better than visible light. The face model varies more smoothly and is more consistent with the real face. This preliminary analysis of the performances of the two proposed techniques can be used as a reference for further comparisons in the analysis of various techniques and algorithms.

     

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