[1] |
Teng C H,Chuo K Y,Hsieh C Y.Reconstructing three-dimensional models of objects using a Kinect sensor[J].The Visual Computer,2018,34(11):1507-1523.
|
[2] |
Zhang Zhi-hua,Liu Zheng-yi.
|
|
RBG-D saliency detection based on multiple perspectives fusion[J].Computer Engineering & Science,2018,40(4):681-689.(in Chinese)
|
[3] |
Husain F,Schulz H,Dellen B,et al.Combining semantic and geometric features for object class segmentation of indoor scenes[J].IEEE Robotics and
|
|
Automation Letters,2017,2(1):49-55.
|
[4] |
Zheng Huan.Research on depth image restoration technology based on Kinect[D].Xi’an:Shaanxi Normal University,2016.(in Chinese)
|
[5] |
Elguebaly T, Bouguila N.Finite asymmetric generalized Gaussian mixture models learning for infrared object detection[J].Computer Vision and Image Understanding,2013,117(12):1659-1671.
|
[6] |
Wang Dian-wei,Chen Peng,Li Da-xiang,et al.
|
|
A depth image inpainting algorithm via depth fusion[J].Journal of Opto- electronics·Laser,2019,30(6):640-646.(in Chinese)
|
[7] |
Zhang Zhi-wei, Ma Jie, Xia Ke-wen,et al.A novel image inpainting algorithm using non-negative dictionary learning[J].Journal of Optoelectronics·Laser,
|
20 |
14,25(8):1613-1619.(in Chinese)
|
[8] |
Miao D,Fu J J,Lu Y,et al.Texture-assisted Kinect depth inpainting[C]∥Proc of 2012 IEEE International Symposium on Circuits and Systems,2012:604-607.
|
[9] |
Hu Tian-you,Peng Zong-ju,Jiao Ren-zhi,et al.Depth map inpainting algorithm based on superpixel segmentation[J].Journal of Optoelectronics·Laser,2016,27(10):1120-1128.(in Chinese)
|
[10] |
Lu S,Ren X F,Liu F.Depth enhancement via low-rank matrix completion[C]∥Proc of
|
20 |
14 IEEE Conference on Computer Vision and Pattern Recognition,2014:3390-3397.
|
[11] |
Qi F,Han J Y, Wang P J,et al.Structure guided fusion for depth map inpainting[J].Pattern Recognition Letters,2013,34(1):70-76.
|
[12] |
Wang Chun-yao,Chen Jun-zhou,Li Wei. Review on superpixel segmentation algorithms[J].Application Research of Computers,2014,31(1):6-12.(in Chinese)
|
[13] |
Li Z Q,Chen J S.Superpixel segmentation using linear spectral clustering[C]∥Proc of
|
20 |
15 IEEE Conference on Computer Vision and Pattern Recognition,2015:1356-1363.
|
[14] |
Achanta R,Shaji A,Smith K,et al.SLIC superpixels compared to state-of-the-art superpixel methods[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(11):2274-2282.
|
[15] |
Shi J B,Malik J.Normalized cuts and image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(8):888-905.
|
[16] |
Levinshtein A,Stere A,Kutulakos K N,et al.TurboPixels:Fast superpixels using geometric flows[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(12):2290-2297.
|
[17] |
Lu Yu-ren,Zhang Ming-lu,Lv Xiao-ling,et al. Point cloud denoising based on normal modification and bilateral filtering processing[J].Instrument Technology and Sensors,2018(7):111-115.(in Chinese)
|
[18] |
Huang Hai-yang.Research on Kinect depth data inpainting algorithm[D].Jinan:Shandong University,2015.(in Chinese)
|
[19] |
Dollár P,Zitnick C L.Fast edge detection using structured forests[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,37(8):1558-1570.
|
[20] |
Scharstein D,Pal C.Learning conditional random fields for stereo[C]∥Proc of 2007 IEEE Conference on Computer Vision and Pattern Recognition,2007:1-8.
|
[21] |
Wang De-cheng,Chen Xiang-ning,Yi Hui,et al.Hole filling and optimization algorithm for depth images based on adaptive
|
|
joint bilateral filtering[J].Chinese Journal of Lasers,2019,46(10):286-293.(in Chinese)
|
[22] |
Telea A.An image inpainting technique based on the fast marching method[J].Journal of Graphics Tools,2004,9(1):23-34.
|
[23] |
Wang M R,Liu X B,Gao Y X.Superpixel segmentation:A benchmark[J].Signal Processing:Image Communication,2017,56:28-39.
|
|
附中文参考文献:
|
[2] |
张志华,刘政怡.多角度融合的RGB-D显著检测[J].计算机工程与科学,2018,40(4):681-689.
|
[4] |
郑欢.基于Kinect的深度图像修复技术研究[D].西安:陕西师范大学,2016.
|
[6] |
王殿伟,陈鹏,李大湘,等.基于深度融合的深度图像修复算法[J].光电子·激光,2019,30(6):640-646.
|
[7] |
陈志伟,马杰,夏克文,等.一种应用图像修复的非负字典学习算法[J].光电子·激光,2014,25(18):1613-1619.
|
[9] |
胡天佑,彭宗举,焦任直,等.基于超像素分割的深度图像修复算法[J].光电子·激光,2016,27(10):1120-1128.
|
[12] |
王春瑶,陈俊周,李炜.超像素分割算法研究综述[J].计算机应用研究,2014,31(1):6-12.
|
[17] |
卢钰仁,张明路,吕晓玲,等.基于法向修正的双边滤波点云去噪处理[J].仪表技术与传感器,2018(7):111-115.
|
[18] |
黄海旸.Kinect深度数据修复算法研究[D].济南:山东大学,2015.
|
[21] |
王得成,陈向宁,易辉,等.基于自适应联合双边滤波的深度图像空洞填充与优化算法[J].中国激光,2019,46(10):286-293.
|