光学学报, 2017, 37 (8): 0810002, 网络出版: 2018-09-07   

结合同场景彩色图像的深度图超分辨率重建 下载: 888次

Depth Image Super-Resolution Construction Combined with High-Resolution Color Image of the Same Scene
作者单位
长春理工大学电子信息工程学院, 吉林 长春130022
引用该论文

王宇, 朴燕, 孙荣春. 结合同场景彩色图像的深度图超分辨率重建[J]. 光学学报, 2017, 37(8): 0810002.

Yu Wang, Yan Piao, Rongchun Sun. Depth Image Super-Resolution Construction Combined with High-Resolution Color Image of the Same Scene[J]. Acta Optica Sinica, 2017, 37(8): 0810002.

参考文献

[1] 王琪龙, 李建勇, 沈海阔. 双目视觉-激光测距传感器目标跟踪系统[J]. 光学学报, 2016, 36(9): 0912002.

    王琪龙, 李建勇, 沈海阔. 双目视觉-激光测距传感器目标跟踪系统[J]. 光学学报, 2016, 36(9): 0912002.

    Wang Qilong, Li Jianyong, Shen Haikuo. Target tracking system of binocular vision and laser range sensor[J]. Acta Optica Sinica, 2016, 36(9): 0912002.

    Wang Qilong, Li Jianyong, Shen Haikuo. Target tracking system of binocular vision and laser range sensor[J]. Acta Optica Sinica, 2016, 36(9): 0912002.

[2] 李熙, 汤儒峰, 李祝莲, 等. 基于二值图像的卫星激光测距数据处理[J]. 中国激光, 2014, 41(12): 1208005.

    李熙, 汤儒峰, 李祝莲, 等. 基于二值图像的卫星激光测距数据处理[J]. 中国激光, 2014, 41(12): 1208005.

    Li Xi, Tang Rufeng, Li Zhulian, et al. Laser ranging data processing based on the analysis of the binary image[J]. Chinese J Lasers, 2014, 41(12): 1208005.

    Li Xi, Tang Rufeng, Li Zhulian, et al. Laser ranging data processing based on the analysis of the binary image[J]. Chinese J Lasers, 2014, 41(12): 1208005.

[3] SchuonS , TheobaltC , DavisJ , et al . High-quality scanning using time-of-flight depth super-resolution[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 2008 : 1 - 7 .

    SchuonS , TheobaltC , DavisJ , et al . High-quality scanning using time-of-flight depth super-resolution[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 2008 : 1 - 7 .

[4] YangY , WangZ . Range image super-resolution via guided image filter[C]. International Conference on Internet Multimedia Computing and Service , 2012 : 200 - 203 .

    YangY , WangZ . Range image super-resolution via guided image filter[C]. International Conference on Internet Multimedia Computing and Service , 2012 : 200 - 203 .

[5] 邸维巍, 张旭东, 胡良梅, 等. 彩色图约束的二阶广义总变分深度图超分辨率重建[J]. 中国图象图形学报, 2014, 19(8): 1162-1167.

    邸维巍, 张旭东, 胡良梅, 等. 彩色图约束的二阶广义总变分深度图超分辨率重建[J]. 中国图象图形学报, 2014, 19(8): 1162-1167.

    Di Weiwei, Zhang Xudong, Hu Liangmei, et al. Depth image super-resolution based on second-order total generalized variation constrained by color image[J]. Journal of Image and Graphics, 2014, 19(8): 1162-1167.

    Di Weiwei, Zhang Xudong, Hu Liangmei, et al. Depth image super-resolution based on second-order total generalized variation constrained by color image[J]. Journal of Image and Graphics, 2014, 19(8): 1162-1167.

[6] CuiY , SchuonS , ChanD , et al . 3D shape scanning with a time-of-flight camera[C]. Computer Vision and Pattern Recognition , 2010 : 1173 - 1180 .

    CuiY , SchuonS , ChanD , et al . 3D shape scanning with a time-of-flight camera[C]. Computer Vision and Pattern Recognition , 2010 : 1173 - 1180 .

[7] SchuonS , TheobaltC , DavisJ , et al . LidarBoost: depth superresolution for ToF 3d shape scanning[C]. Computer Vision and Pattern Recognition , 2009 : 343 - 350 .

    SchuonS , TheobaltC , DavisJ , et al . LidarBoost: depth superresolution for ToF 3d shape scanning[C]. Computer Vision and Pattern Recognition , 2009 : 343 - 350 .

[8] YangQ , YangR , DavisJ , et al . Spatial-depth super resolution for range images[C]. Computer Vision and Pattern Recognition , 2007 : 1 - 8 .

    YangQ , YangR , DavisJ , et al . Spatial-depth super resolution for range images[C]. Computer Vision and Pattern Recognition , 2007 : 1 - 8 .

[9] DiebelJ , ThrunS . An application of markov random fields to range sensing[C]. Advances in Neural Information Processing Systems , 2005 : 291 - 298 .

    DiebelJ , ThrunS . An application of markov random fields to range sensing[C]. Advances in Neural Information Processing Systems , 2005 : 291 - 298 .

[10] LuJ , MinD , Pahwa RS , et al . A revisit to MRF-based depth map super-resolution and enhancement[C]. IEEE International Conference on Acoustics, Speech and Signal Processing , 2011 : 985 - 988 .

    LuJ , MinD , Pahwa RS , et al . A revisit to MRF-based depth map super-resolution and enhancement[C]. IEEE International Conference on Acoustics, Speech and Signal Processing , 2011 : 985 - 988 .

[11] ParkJ , KimH , Tai YW , et al . High quality depth map upsampling for 3D-TOF cameras[C]. IEEE International Conference on Computer Vision , 2012 : 1623 - 1630 .

    ParkJ , KimH , Tai YW , et al . High quality depth map upsampling for 3D-TOF cameras[C]. IEEE International Conference on Computer Vision , 2012 : 1623 - 1630 .

[12] KopfJ , Cohen MF , LischinskiD , et al . Joint bilateral upsampling[C]. ACM Transactions on Graphics , 2007 .

    KopfJ , Cohen MF , LischinskiD , et al . Joint bilateral upsampling[C]. ACM Transactions on Graphics , 2007 .

[13] HeK , SunJ , TangX . Guided image filtering[C]. European Conference on Computer Vision , 2010 : 1 - 14 .

    HeK , SunJ , TangX . Guided image filtering[C]. European Conference on Computer Vision , 2010 : 1 - 14 .

[14] FerstlD , ReinbacherC , RanftlR , et al . Image guided depth upsampling using anisotropic total generalized variation[C]. IEEE International Conference on Computer Vision , 2013 : 993 - 1000 .

    FerstlD , ReinbacherC , RanftlR , et al . Image guided depth upsampling using anisotropic total generalized variation[C]. IEEE International Conference on Computer Vision , 2013 : 993 - 1000 .

[15] TorralbaA , FreemanW . Properties and applications of shape recipes[C]. Computer Vision & Pattern Recognition , 2003 .

    TorralbaA , FreemanW . Properties and applications of shape recipes[C]. Computer Vision & Pattern Recognition , 2003 .

[16] 张利红, 梁英波, 吴定允, 等. 基于改进多尺度形态学的带钢缺陷图像边缘检测[J]. 激光与红外, 2014, 44(3): 330-334.

    张利红, 梁英波, 吴定允, 等. 基于改进多尺度形态学的带钢缺陷图像边缘检测[J]. 激光与红外, 2014, 44(3): 330-334.

    Zhang Lihong, Liang Yingbo, Wu Dingyun, et al. Strip steel surface defects imaging edge inspection based on improved multi-scale morphology[J]. Laser & Infrared, 2014, 44(3): 330-334.

    Zhang Lihong, Liang Yingbo, Wu Dingyun, et al. Strip steel surface defects imaging edge inspection based on improved multi-scale morphology[J]. Laser & Infrared, 2014, 44(3): 330-334.

[17] Chambolle A, Pock T. A first-order primal-dual algorithm for convex problems with applications toimaging[J]. Journal of Mathematical Imaging and Vision, 2011, 40(1): 120-145.

    Chambolle A, Pock T. A first-order primal-dual algorithm for convex problems with applications toimaging[J]. Journal of Mathematical Imaging and Vision, 2011, 40(1): 120-145.

[18] Esser E, Zhang X, Chan T. A general framework for a class of first order primal-dual algorithms for convex optimization in imagingscience[J]. Siam Journal on Imaging Sciences, 2010, 3(4): 1015-1046.

    Esser E, Zhang X, Chan T. A general framework for a class of first order primal-dual algorithms for convex optimization in imagingscience[J]. Siam Journal on Imaging Sciences, 2010, 3(4): 1015-1046.

[19] PockT , ChambolleA . Diagonal preconditioning for first order primal-dual algorithms in convex optimization[C]. IEEE International Conference on Computer Vision , 2011 : 1762 - 1769 .

    PockT , ChambolleA . Diagonal preconditioning for first order primal-dual algorithms in convex optimization[C]. IEEE International Conference on Computer Vision , 2011 : 1762 - 1769 .

[20] HirschmullerH , ScharsteinD . Evaluation of cost functions for stereo matching[C]. Computer Vision and Pattern Recognition , 2007 : 1 - 8 .

    HirschmullerH , ScharsteinD . Evaluation of cost functions for stereo matching[C]. Computer Vision and Pattern Recognition , 2007 : 1 - 8 .

[21] ScharsteinD , PalC . Learning conditional random fields for stereo[C]. Computer Vision and Pattern Recognition , 2007 : 1 - 8 .

    ScharsteinD , PalC . Learning conditional random fields for stereo[C]. Computer Vision and Pattern Recognition , 2007 : 1 - 8 .

王宇, 朴燕, 孙荣春. 结合同场景彩色图像的深度图超分辨率重建[J]. 光学学报, 2017, 37(8): 0810002. Yu Wang, Yan Piao, Rongchun Sun. Depth Image Super-Resolution Construction Combined with High-Resolution Color Image of the Same Scene[J]. Acta Optica Sinica, 2017, 37(8): 0810002.

本文已被 4 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!