Unsupervised texture reconstruction method using bidirectional similarity function for 3-D measurements

作者：Wu Jiachen; Chen Hailong; Liu Xiaoli; Cao Liangcai^*; Peng Xiang^*; Jin Guofan

来源：Optics Communications, 2019, 439: 85-93.

DOI：10.1016/j.optcom.2019.01.051

• 3-D measurement
• Bidirectional similarity function
• Texture reconstruction
• Pinhole camera model
• Structured light

The developments of three-dimensional (3-D) imaging and display technology have created important demands for 3-D model with realistic texture. Due to texture misalignment and inconsistent illumination, texture reconstruction is subject to degradation like blurring, ghosting and color discontinuity. A composite weight texture blending approach is proposed to mitigate the artifacts. For inaccurate geometric model, bidirectional similarity function based multi-scale energy minimization method is proposed to correct texture misalignment. The average processing time of the proposed method is only 40% of existing method. The optical experiments demonstrate that photorealistic texture could be achieved for inaccurate geometric model and inconsistent illumination.

• 单位
  清华大学; shenzhen univ; x