光学 精密工程, 2016, 24 (5): 1206, 网络出版: 2016-06-15   

条纹颜色分离与聚类

Separating and clustering of structured light stripe color
李华 1,2杨帆 1,2杨华民 1,2韩成 1,2张超 1,2
作者单位
1 长春理工大学 计算机科学技术学院, 吉林 长春 130000
2 特种电影技术及装备国家地方联合工程研究中心, 吉林 长春 130000
摘要
为解决彩色物体表面颜色干扰以及条纹之间的颜色串扰导致彩色结构光系统产生的条纹颜色误识别问题, 提出了彩色结构光的条纹颜色分离以及聚类方法。首先, 提出了一种新的摄像机和投影机的颜色校正方法, 以消除外界环境光以及系统的颜色串扰现象, 解决系统的耦合性问题。其次, 给出了一种物体的反射分离机制, 用于提取物体表面的漫反射分量和镜面反射分量, 修正彩色物体的背景色对彩色编码条纹的影响。最后, 利用颜色聚类算法, 对经过彩色物体调制后的条纹进行颜色归类划分, 纠正条纹颜色之间的干扰, 恢复系统消耗的彩色条纹颜色信息。实验验证了本文提出方法的有效性, 结果表明: 该方法具有较高的抗干扰能力、较强的鲁棒性, 能准确有效地识别受干扰的彩色条纹, 识别正确率达到92%左右。
Abstract
To overcome the misrecognition for the stripe color from a color structure light system caused by the interference of object surface color and the color crosstalk among the stripes, a method to separate and cluster the structured light stripe color was proposed. Firstly, a novel color correction method for a camera and a projector was designed to avoid the crosstalk phenomenon of color sequence from ambient light and the system and to solve the coupling issues of the system. Then, a reflective separation mechanism was presented to extract the diffuse component and the specular component of object surfaces and to correct the effect of object background color on color-coded stripes. Finally, the color clustering algorithm was used to classify the modulated stripe color and to correct the interference among stripes and recover the information of stripe color due to energy consumption of the system. The feasibility of the proposed method was verified. Experimental results show that this method has higher anti-jamming capability and stronger robustness. It recognizes correctly the interfered colored stripes, and the recognition rate reaches about 92%.
参考文献

[1] RADU O, JOAQUIM S, MIHAELA G, et al.. Structured light self-calibration with vanishing points [J]. Machine Vision and Applications, 2014, 25(2): 489-500.

[2] 贾小军, 张之江, 曹芳, 等. 编码结构光系统模型及误差分析[J].光学 精密工程, 2011, 19(4): 717-727.

    JIA X J, ZHANG ZH J, CAO F, et al.. System model and error analysis for coded structure light [J]. Opt. Precision Eng., 2011, 19(4): 717-727.(in Chinese)

[3] 陆军, 李积江, 黄春明.符号M阵列结构光的解码[J].光学 精密工程, 2013, 21(4): 1069-1078.

    LU J, LI J J, HUANG CH M. Decoding of structured light based on symbol M-array [J].Opt. Precision Eng., 2013, 21(4): 1069-1078.(in Chinese)

[4] 单鹂娜, 于晓洋, 于双, 等. 彩色梯度相移与格雷码相结合的三维测量方法[J]. 光学 精密工程, 2010, 18(11): 2497-2504.

    SHAN L N, YU X Y, YU SH, et al.. Three dimensional measurement method combining color trapezoidal phase-shifting with color gray code [J]. Opt. Precision Eng., 2010, 18(11): 2497-2504.(in Chinese)

[5] 麻珂, 张启灿.分离物体三维测量的彩色结构光编码新方法[J].中国激光, 2010, 37(11): 2918-2924.

    MA K, ZHANG Q C. A new color structured light coding method for three-dimensional measurement of isolated objects [J]. Chinese Journal of Lasers, 2010, 37(11): 2918-2924. (in Chinese)

[6] SERGIO F.One-shot pattern projection for dense and accurate 3D reconstruction in structured light [D].Girona: University of Girona, 2012.

[7] 韩成, 秦贵和, 宫宇, 等.基于彩色结构光的三维重构方法[J].吉林大学学报: 工学版, 2013, 43(5): 1343-1351.

    HAN CH, QIN G H, GONG Y, et al.. Method for three dimensional reconstruction based on color structured light [J].Journal of Jilin University: Engineering and Technology Edition, 2013, 43(5): 1343-1351. (in Chinese)

[8] WONKWI J, CHANGSOO J, YONGDUEK S, et al.. Structured-light stereo: Comparative analysis and integration of structured-light and active stereo for measuring dynamic shape[J]. Optics and Lasers in Engineering, 2013, 51(11): 1255-126.

[9] ALI O U, FATIH C, GABRIEL T. Robust one-shot 3D scanning using loopy belief propagation [C].IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops(CVPRW), San Francisco, US: CA, 2010, 15-22.

[10] JE C, LEE K H, LEE S W. Multi-projector color structured-light vision [J]. Signal Processing: Image Communication, 2013, 28(9): 1046-1058.

[11] 胡路遥, 达飞鹏, 王露阳.一种针对彩色物体的光栅投影三维测量方法[J].光学学报, 2012, 32(2): 0212002.

    HU L Y, DA F P, WANG L Y. A novel color fringe projection method for 3D measurement of colorful objects[J].Acta Optica Sinica, 2012, 32(2): 0212002. (in Chinese)

[12] 车建强, 戴宁, 崔海华, 等.面向彩色物体的双目三维测量编码新方法[J]. 光学学报, 2014, 34(11): 0212002.

    CHE J Q, DAI N, CUI H H, et al.. A novel encoding method for binocular three-dimensional measurement of color objects [J]. Acta Optica Sinica, 2014, 34(11): 0212002. (in Chinese)

[13] CASPI D, KIRYATI N, SHAMIR J. Range imaging with adaptive color structured light [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(5): 470-480.

[14] 汤一平, 宗明理, 吴立娟. 基于双色反射模型的彩色结构光颜色识别的研究[J].计算机学报, 2013, 36(9): 1908-1916.

    TANG Y P, ZONG M L, WU L J.Research on identification of color structured light based on dichromatic reflection model [J]. Chinese Journal of Computers, 2013, 36(9): 1908-1916. (in Chinese)

[15] SHEN H L, CAI Q Y, Simple and efficient method for specularity removal in an image [J]. Applied Optics, 2009, 48(14): 2711-2719.

[16] 范静涛, 韩成, 张超, 等. 一种新的De Bruijn彩色结构光解码技术研究[J].电子学报, 2012, 40(3): 483-488.

    FAN J T, HAN CH, ZHANG CH, et al.. Study of a new decoding technology for De Bruijn structured light [J]. Acta Electronic Sinica, 2012, 40(3): 483-488. (in Chinese)

李华, 杨帆, 杨华民, 韩成, 张超. 条纹颜色分离与聚类[J]. 光学 精密工程, 2016, 24(5): 1206. LI Hua, YANG Fan, YANG Hua-min, HAN Cheng, ZHANG Chao. Separating and clustering of structured light stripe color[J]. Optics and Precision Engineering, 2016, 24(5): 1206.

本文已被 3 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!