离散采集结合自适应窗截取的立体元图像生成

doi:10.13229/j.cnki.jdxbgxb201605044

吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (5): 1681-1687.doi: 10.13229/j.cnki.jdxbgxb201605044

离散采集结合自适应窗截取的立体元图像生成

郭敏¹, 司玉娟^1,2, 王世刚¹, 吕源治³, 武伟¹, 赵文婷¹

1.吉林大学通信工程学院,长春130012;
2.吉林大学珠海学院电子信息系,广东珠海 519041;
3.中国科学院长春光学精密机械与物理研究所光电技术研发中心,长春 130033

收稿日期:2015-06-04 出版日期:2016-09-20 发布日期:2016-09-20
通讯作者: 司玉娟(1963-),女,教授,博士生导师.研究方向:数据传输及处理.E-mail:siyj@jlu.edu.cn
作者简介:郭敏(1984-),女,博士研究生.研究方向:立体图像.E-mail:guomin7852@163.com
基金资助:
“863”国家高技术研究发展计划项目(2012AA011505); 高等学校博士学科点专项科研基金项目(20120061110091); 吉林大学研究生创新基金项目(2015077); 吉林省科技攻关重点项目(20150204039GX); 吉林省长春市重大科技攻关专项项目(14KG064).

Elemental image generation combing discrete viewpoint pickup with adaptive window interception

GUO Min¹, SI Yu-juan^1,2, WANG Shi-gang¹, LYU Yuan-zhi³, WU Wei¹, ZHAO Wen-ting¹

1.College of Communication Engineering, Jilin University, Changchun 130012, China;
2.Department of Electronic Information, Zhuhai College of Jilin University, Zhuhai 519041,China;
3.Photoelectric Technology Research and Development Center, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033,China

Received:2015-06-04 Online:2016-09-20 Published:2016-09-20

摘要/Abstract

摘要： 为了克服离散视点采集结合窗截取的立体元图像生成方法对采集平台参数的依赖,本文提出采用基于拍摄对象的自适应窗截取算法来获得立体元图像阵列。首先,利用离散视点采集平台获得拍摄对象的离散视点图像阵列;然后,计算拍摄对象在每幅离散视点图像中的成像区域,再根据成像区域对截取窗参数的制约关系生成截取窗,并利用截取窗将离散视点图像阵列处理成子图像阵列;最后,根据立体元图像阵列与子图像阵列之间的映射关系,将子图像阵列转换成立体元图像阵列。实验结果表明:本文方法能够在采集平台参数未知的情况下,获得与传统方法相同的立体元图像阵列,大大提高了离散视点图像阵列的通用性和立体元图像阵列的生成效率。

关键词: 信息处理技术, 立体元图像阵列, 自适应窗截取, 离散视点图像阵列, 子图像阵列

Abstract: To overcome the reliance on the pickup platform parameters of elemental image array generation method, which combines discrete viewpoint pickup with window interception, we proposed an adaptive window interception algorithm based on the object to generate an elemental image array. First, the discrete viewpoint image array is acquired using the discrete viewpoint pickup platform. Then, the imaging area of the object in every viewpoint image is calculated. Then, the interception window is generated according to the restriction on the parameters of the interception window from the imaging area, and the discrete viewpoint image array is processed into a sub-image array with the interception window. Finally, the sub-image array is transformed into the corresponding elemental image array. Experimental results show that, without the pickup platform parameters, the proposed method can generate the same elemental image array as the traditional method can, which will boost the universality of the discrete viewpoint image array and the generation efficiency of the elemental image array.

Key words: information processing technology, elemental image array, adaptive window interception, discrete viewpoint image array, sub-image array

中图分类号:

TN911

郭敏, 司玉娟, 王世刚, 吕源治, 武伟, 赵文婷. 离散采集结合自适应窗截取的立体元图像生成[J]. 吉林大学学报(工学版), 2016, 46(5): 1681-1687.

GUO Min, SI Yu-juan, WANG Shi-gang, LYU Yuan-zhi, WU Wei, ZHAO Wen-ting. Elemental image generation combing discrete viewpoint pickup with adaptive window interception[J]. 吉林大学学报(工学版), 2016, 46(5): 1681-1687.

参考文献

[1] Lippmann M G. Epreuves reversible donnant la sensation du relief[J]. Journal of Physiology, 1908,7(1): 821-825.
[2] Raul M C, Genaro S, Manuel M C, et al. Progress in 3-D multiperspective display by integral imaging[J]. Proceedings of the IEEE Journal, 2009, 97(6): 1067-1077.
[3] Son J Y, Son W H, Kim S K, et al. Three-dimensional imaging for creating real-world-like environments[J]. Proceedings of IEEE Journal, 2013, 101(1): 190-205.
[4] 焦小雪, 赵星, 杨勇, 等.基于相机阵列的三维集成成像记录系统[J].光学精密工程,2012,20(8):1653-1660.
Jiao Xiao-xue, Zhao Xing, Yang Yong, et al. Pick-up system for three-dimensional integral imaging with camera array[J]. Optics and Precision Engineering, 2012,20(8):1653-1660.
[5] 焦小雪,赵星,杨勇, 等.基于最佳记录距离的三维集成成像光学获取技术[J].光学精密工程, 2011,19 (11): 2805-2811.
Jiao Xiao-xue, Zhao Xing, Yang Yong, et al. Optical acquiring technique of three-dimensional integral imaging based on optimal pick-up distance[J]. Optics and Precision Engineering, 2011,19 (11): 2805-2811.
[6] Milnthorpe G, Mccormick M, Davies N. Computer modeling of lens arrays for integral image rendering[C]∥Proceedings of the 20th Eurographics UK Conference.Leicester: IEEE, 2002: 136-141.
[7] Liao H, Dohi T, Nomura K. Autostereoscopic 3D display with long visualization depth using referential viewing area-based integral photography[J]. IEEE Transactions on Visualization and Computer Graphics, 2011, 17(11): 1690-1701.
[8] Yoo C H, Kang H H, Kim E S. Enhanced compression of integral images by combined use of residual images and MPEG-4 algorithm in three-dimensional integral imaging[J]. Optics Communications, 2011, 284(20): 4884-4893.
[9] Hong S H, Javidi B. Improved resolution 3D object reconstruction using computational integral imaging with time multiplexing[J]. Optics Express, 2004, 12(19): 4579-4588.
[10] Jang J S, Javidi B. Three-dimensional synthetic aperture integral imaging[J]. Optics Letters, 2002, 27(13): 1144-1146.
[11] Wilburn B, Joshi N, Vaish V, et al. High performance imaging using large camera arrays[J]. ACM Transactions on Graphics, 2005, 24(3): 765-776.
[12] Levoy M. Light fields and computational imaging[J]. IEEE Computer Magazines, 2006, 39(8): 46-55.
[13] Guo Min, Si Yu-juan, Lyu Yuan-zhi, et al. Elemental image array generation based on discrete viewpoint pickup and window interception in integral imaging[J]. Applied Optics, 2015, 54(4):876-884.
[14] Park J H, Kim J, Lee B. Three-dimensional optical correlator using a sub-image array[J]. Optics Express, 2005, 13(13):5116-5126.

相关文章 15

[1]	苏寒松,代志涛,刘高华,张倩芳. 结合吸收Markov链和流行排序的显著性区域检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1887-1894.
[2]	徐岩,孙美双. 基于卷积神经网络的水下图像增强方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1895-1903.
[3]	黄勇,杨德运,乔赛,慕振国. 高分辨合成孔径雷达图像的耦合传统恒虚警目标检测[J]. 吉林大学学报(工学版), 2018, 48(6): 1904-1909.
[4]	李居朋,张祖成,李墨羽,缪德芳. 基于Kalman滤波的电容屏触控轨迹平滑算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1910-1916.
[5]	应欢,刘松华,唐博文,韩丽芳,周亮. 基于自适应释放策略的低开销确定性重放方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1917-1924.
[6]	陆智俊,钟超,吴敬玉. 星载合成孔径雷达图像小特征的准确分割方法[J]. 吉林大学学报(工学版), 2018, 48(6): 1925-1930.
[7]	刘仲民,王阳,李战明,胡文瑾. 基于简单线性迭代聚类和快速最近邻区域合并的图像分割算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1931-1937.
[8]	单泽彪,刘小松,史红伟,王春阳,石要武. 动态压缩感知波达方向跟踪算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1938-1944.
[9]	姚海洋, 王海燕, 张之琛, 申晓红. 双Duffing振子逆向联合信号检测模型[J]. 吉林大学学报(工学版), 2018, 48(4): 1282-1290.
[10]	全薇, 郝晓明, 孙雅东, 柏葆华, 王禹亭. 基于实际眼结构的个性化投影式头盔物镜研制[J]. 吉林大学学报(工学版), 2018, 48(4): 1291-1297.
[11]	陈绵书, 苏越, 桑爱军, 李培鹏. 基于空间矢量模型的图像分类方法[J]. 吉林大学学报(工学版), 2018, 48(3): 943-951.
[12]	陈涛, 崔岳寒, 郭立民. 适用于单快拍的多重信号分类改进算法[J]. 吉林大学学报(工学版), 2018, 48(3): 952-956.
[13]	孟广伟, 李荣佳, 王欣, 周立明, 顾帅. 压电双材料界面裂纹的强度因子分析[J]. 吉林大学学报(工学版), 2018, 48(2): 500-506.
[14]	林金花, 王延杰, 孙宏海. 改进的自适应特征细分方法及其对Catmull-Clark曲面的实时绘制[J]. 吉林大学学报(工学版), 2018, 48(2): 625-632.
[15]	王柯, 刘富, 康冰, 霍彤彤, 周求湛. 基于沙蝎定位猎物的仿生震源定位方法[J]. 吉林大学学报(工学版), 2018, 48(2): 633-639.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

离散采集结合自适应窗截取的立体元图像生成

Elemental image generation combing discrete viewpoint pickup with adaptive window interception

RICH HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10