图像纹理高强度分布的约束随机编码方法#br#

taptap下载安装安卓学报 ›› 2020, Vol. 38 ›› Issue (1): 38-42.

图像纹理高强度分布的约束随机编码方法#br#

高庆吉，彭传波，方榕

（taptap下载安装安卓电子信息与自动化学院，天津300300）

出版日期:2020-02-29 发布日期:2020-03-10
作者简介:高庆吉（1966—），男，黑龙江佳木斯人，教授，博士，研究方向为智能机器人.
基金资助:
天津市自然科学基金项目（12JCZDJC34200）；天津市科技计划项目（14ZCZDCX00055）

Constrained random coding method for high-intensity distribution of image texture#br#

GAO Qingji, PENG Chuanbo, FANG Rong#br#

（College of Electronic Information and Automation, CAUC Tianjin 300300, China）

Online:2020-02-29 Published:2020-03-10
Supported by:

摘要/Abstract

摘要： 针对双目立体视觉系统中弱纹理对象立体匹配困难问题，提出了一种约束随机编码图像生成算法，用于增加弱纹理对象表面的纹理质量。首先，根据立体匹配算法的搜索策略及代价聚合的计算方法，设计了投影图像像素编码规则，建立了投影与目标混合图像位置像素局部唯一性约束下的计算方法，形成高强度的纹理分布图像；然后，将该算法生成的约束随机编码图像投影到航空行李表面，采用立体匹配算法完成行李表面的三维重建，并对重建结果进行评估。实验结果表明，算法可对纯色或纹理特征不明显的航空行李进行准确可靠的三维建模。

关键词: 弱纹理对象, 约束随机编码算法, 高强度纹理分布, 立体匹配, 三维重建, 自助行李托运系统

Abstract: Aiming at the difficulties during stereo matching of weak-texture-object in binocular stereo vision system, a constrained random coding image generation algorithm is proposed for enhancement of texture quality. Firstly,according to the search strategy of stereo matching algorithm and calculation method of cost aggregation, the pixel coding rules of the projected image are designed, and the calculation method under local uniqueness constraint of projection and target hybrid image position pixels is established to form a high-intensity texture distribution image. The constrained random coded image generated by the algorithm is projected onto the surface of air baggage, the 3D reconstruction of air baggage surface is performed by stereo matching algorithm, and the reconstruction result is evaluated. The reconstruction experimental results of standard parts and actual baggage show that the proposed algorithm can accurately and reliably model the air baggage with solid color or weak texture features.

Key words: color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">weak-texture-object, constrained random coding algorithm, high intensity color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">texture distribution, stereo matching, 3D reconstructioncolor:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">, color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">self check-in system with baggage

中图分类号:

V353
TP391.4

高庆吉, 彭传波, 方榕. 图像纹理高强度分布的约束随机编码方法#br#[J]. taptap下载安装安卓学报, 2020, 38(1): 38-42.

GAO Qingji, PENG Chuanbo, FANG Rong. Constrained random coding method for high-intensity distribution of image texture#br#[J]. Journal of Civil Aviation University of China, 2020, 38(1): 38-42.

参考文献 16

[1]	张聪炫, 陈震, 黎明. 单目图像序列光流三维重建技术研究综述[J]. 电子学报, 2016, 44(12): 3044-3052.
[2]	张爱武, 胡少兴, 孙卫东. 基于激光与可见光同步数据的室外场景三维重建[J]. 电子学报, 2005, 33(5): 810-815.
[3]	翟昌杰, 秦学英. 面向手持式3 维扫描设备的本征纹理重建[J]. 中国图像图形学报, 2017, 22(3): 395-403.
[4]	魏振中, 李苏祺, 张广军. 一种地形轮廓特征的立体视觉三维重建方法[J]. 航空学报, 2009, 30(6): 1070-1076.
[5]	徐婵婵, 杨刚. 采用邻域直方图匹配的矢量纹理图案合成[J]. 中国图像图形学报, 2013, 18(12): 1703-1713.
[6]	XU KE, ZHOU PENG, HU CHAOFAN. 3-D detection technique of surface defects for heavy rail based on binocular stereo vision[C]//6th International Symposium on Advanced Optical Manufacturing and Testing Technologies, Xiamen, Fujian, Apr 26-29, 2012: 1-6.
[7]	LIU CHENGLIN, MA SHAOPENG, MA QINGWEI, et al. Stereo vision system based on the dot matrix projection[C]//2011 International Conference on Optical Instruments and Technology, Beijing, Nov 6-9, 2011:1-6.
[8]	YU SHUANG, CHEN BAOYUAN, et al. Encoded light image active feature matching approach in binocular stereo vision[C]//11th International Forum on Strategic Technology, Novosibirsk, Nowosibirsk, Jun 1-3, 2016: 406-409.
[9]	CHEN SHENGYONG, LI YOUFU, ZHANG JIANWEI. Realtime structured light vision with the principle of unique color codes[C]//IEEE International Conference on Robotics and Automation. Roma, Apr 10-14, 2007: 429-434.
[10]	刘巍, 尚志亮, 马鑫, 等. 基于彩色编码的副油箱风洞模型位姿测量方法[J]. 航空学报, 2015, 36(5): 1556-1563.
[11]	CHEN SHENGYONG, LI YOUFU, ZHANG JIANWEI. Fast 3D perception by a color-coded vision system[C]//IEEE International Conference on Mechatronics and Automation, Luoyang, Henan, Jun 25-28,2006: 1210-1215.
[12]	HEIKO H. Accurate and efficient stereo processing by semi-global matching and mutual information[C]//IEEE Conference on Computer Vision and Pattern Recognition(CVPR), San Diego, California, Jun 20-25,2005: 807-814.
[13]	HEIKO H. Stereo processing by semi-global matching and mutual information[J]. IEEE Transactions on Pattern Analysis And Machine Intelligence, 2008, 30(2): 328-341.
[14]	林义闽, 吕乃光, 娄小平, 等. 用于弱纹理场景三维重建的机器人视觉系统[J]. 光学精密工程, 2015, 23(2): 540-549.
[15]	杜英魁, 刘成, 田丹, 等. 弱纹理环境双目视觉稠密视差鲁棒估计方法[J]. 光学精密工程, 2017, 25(4): 554-562.
[16]	肖志涛, 张文寅, 耿磊, 等. 双目视觉系统测量精度分析[J]. 光电工程, 2014, 41(2): 6-11.