计算机应用 ›› 2014, Vol. 34 ›› Issue (8): 2385-2389.DOI: 10.11772/j.issn.1001-9081.2014.08.2385

• 虚拟现实与数字媒体 • 上一篇    下一篇

基于彩色结构光的自动编码算法

王勇,饶勤菲,唐靖,袁巢燕   

  1. 重庆理工大学 计算机科学与工程学院,重庆400054
  • 收稿日期:2014-02-27 修回日期:2014-04-18 出版日期:2014-08-01 发布日期:2014-08-10
  • 通讯作者: 王勇
  • 作者简介:王勇(1974-),男,重庆人,副教授,博士,主要研究方向:多媒体、网络;饶勤菲(1990-),男,江西吉安人,硕士研究生,主要研究方向:图像处理;唐靖(1988-),女,湖南永州人,硕士研究生,主要研究方向:图像处理;袁巢燕(1987-),女,安徽合肥人,硕士研究生,主要研究方向:无线传感器网络、嵌入式系统。
  • 基金资助:

    重庆市教委基金资助项目

Automatic coding algorithm based on color structure light

WANG Yong,RAO Qinfei,TANG Jing,YUAN Chaoyan   

  1. College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China
  • Received:2014-02-27 Revised:2014-04-18 Online:2014-08-01 Published:2014-08-10
  • Contact: WANG Yong

摘要:

针对光栅投影三维轮廓测量中被测对象所含特性越来越复杂,提取到的细化光栅条纹存在大量断裂,导致细化条纹编码困难的问题,提出了一种基于彩色结构光的自动编码算法。设计了一种新的彩色结构光模型并且给出了其设计原理,实现了一种新的条纹自动编码算法。该算法从投影的彩色结构光栅中提取到带有颜色信息的细化光栅条纹,通过判断条纹最佳相邻的连通区域依次对其每种颜色的细化条纹进行编码,最后利用光栅模型的周期性进行组合编码得到完整图像的条纹编码。仿真实验结果表明:该彩色结构光模型设计简单,条纹自动编码算法的准确率较高,其误差能够降低将近10%,利用得到的条纹编码数据能够重建出较理想的三维点云数据模型。

Abstract:

The properties of the measured objects in 3D profile using the grating projection are more and more complex, there are a large number of splits in the extracted refinement grating stripes, and the refinement stripe encoding is very difficult. An automatic coding algorithm based on color structure light was proposed. The paper designed a new model of color structure light, introduced its design principle and implemented a new automatic stripe coding algorithm. First, the algorithm extracted the refinement grating stripe with color information from the color structure grating. Then, orderly encoded the refined stripes of each color by judging the best connected domain. Finally, the article got the stripe coding of the total image through combined coding by using the periodicity of grating model. The simulation experiment results show that the model design of color structure light is simple, the automatic coding algorithm of stripe has high accuracy and the error is decreased to 10 percent. The ideal 3D points cloud data model can be reconstructed through the strip coded data.

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