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基于纹理的三维书籍模型单侧页面提取方法

  

  1. 北方工业大学计算机学院，北京 100144
  • 出版日期:2018-04-30 发布日期:2018-04-30
  • 基金资助:
    国家自然科学基金项目(61371142)

Single Side Page Extracting Method for 3D Book Model Based on Texture

  1. School of Computer Science and Technology, North China University of Technology, Beijing 100144, China
  • Online:2018-04-30 Published:2018-04-30

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摘要： 模型分割在实际工程中有重要的应用价值。针对三维书籍模型的点云分割，提出了
一种基于纹理的单侧书籍页面提取方法。对于获取的三维书籍模型以及散乱纹理图像，首先将模
型的散乱纹理转化为有序纹理，将像素值从RGB 空间转换到HSI 空间，根据H(色调)和I(亮度)
去掉模型背景点云；然后根据书脊线像素在有序纹理图像中的分布特性，计算纹理图像中的书脊
线，再利用最小二乘法拟合出书脊线的三维空间方程，进而求出分割左右页面的空间平面，最终
完成单侧页面的提取。实验结果表明，该方法针对三维书籍模型能够快速稳定地提取出单侧页面，
具有较高的准确性。

关键词: 页面提取, 点云分割, HSI 色彩空间, 书籍模型, 最小二乘法

Abstract: Model segmentation has important application value in practical engineering. For the point
cloud segmentation of 3D book model, a single page extraction method based on texture is proposed.
For the 3D model books and disordered texture image acquired, the disordered texture of the model is
transformed into orderly texture firstly. Then the pixel values are converted from RGB color space to
HSI space. According to H (hue) and I (intensity), the point cloud of background model is removed.
Next, the spine line is analyzed from the distribution characteristics of the spine pixels in an orderly
texture image. The three-dimensional space equation of spine is calculated by the least squares method,
so that the space equation can be solved for the single side page extracting. Experimental results show
that the method can extract the single page stably for the 3D book model, and has higher accuracy.

Key words: page extraction, point cloud segmentation, HSI color space, book model, least square method