基于深度相机的特殊表面定位与修复 下载: 1068次
费点, 陈建林, 刘东生, 张之江. 基于深度相机的特殊表面定位与修复[J]. 光学学报, 2020, 40(21): 2115002.
Dian Fei, Jianlin Chen, Dongsheng Liu, Zhijiang Zhang. Depth Camera-Based Location and Restoration of Special Surface[J]. Acta Optica Sinica, 2020, 40(21): 2115002.
[1] Newcombe RA, IzadiS, HilligesO, et al. KinectFusion: real-time dense surface mapping and tracking[C]∥2011 10th IEEE International Symposium on Mixed and Augmented Reality, October 26-29, 2011, Basel, Switzerland. New York: IEEE, 2011: 127- 136.
[2] BylowE, OlssonC, KahlF. Robust online 3D reconstruction combining a depth sensor and sparse feature points[C]∥2016 23rd International Conference on Pattern Recognition (ICPR), December 4-8, 2016, Cancun, Mexico. New York: IEEE, 2016: 3709- 3714.
[3] Slavcheva M, Kehl W, Navab N, et al. SDF-2-SDF registration for real-time 3D reconstruction from RGB-D data[J]. International Journal of Computer Vision, 2018, 126(6): 615-636.
[4] AlhwarinF, FerreinA, SchollI. IR stereo kinect: improving depth images by combining structured light with IR stereo[M] ∥Pham D N, Park S B. PRICAI 2014: trends in artificial intelligence. Lecture notes in computer science. Lecture notes in computer science. Cham: Springer, 2014, 8862: 409- 421.
[5] YunY, SeoD, KimD. Recognition of transparent objects using 3D depth camera[C]∥2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), June 28 -July 1, 2017, Jeju, South Korea. New York: IEEE, 2017: 882- 883.
[6] Yeung S K, Wu T P, Tang C K, et al. Normal estimation of a transparent object using a video[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(4): 890-897.
[7] Wu B J, Zhou Y, Qian Y M, et al. Full 3D reconstruction of transparent objects[J]. ACM Transactions on Graphics, 2018, 37(4): 1-11.
[8] 乔玉晶, 张思远, 赵宇航. 高光弱纹理物体表面鲁棒重建方法[J]. 光子学报, 2019, 48(12): 1212002.
[9] 文学东, 陈为民, 谢洪, 等. 一种融合多源特征的建筑物三维模型重建方法[J]. 武汉大学学报·信息科学版, 2019, 44(5): 731-736, 764.
Wen X D, Chen W M, Xie H, et al. A method for building model reconstruction based on multi-source feature fusion[J]. Geomatics and Information Science of Wuhan University, 2019, 44(5): 731-736, 764.
[11] 夏青, 严军. 基于有向距离函数的透明物体定位[J]. 电子测量技术, 2018, 41(14): 88-91.
Xia Q, Yan J. Localization of transparent objects using signed distance functions[J]. Electronic Measurement Technology, 2018, 41(14): 88-91.
[12] Zhang YD, FunkhouserT. Deep depth completion of a single RGB-D image[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2018: 175- 185.
[13] Qiu JX, Cui ZP, Zhang YD, et al. DeepLiDAR: deep surface normal guided depth prediction for outdoor scene from sparse LiDAR data and single color image[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 2019: 3308- 3317.
[14] Sajjan SS, MooreM, PanM, et al. ( 2019-10-14)[2019-11-24]. https:∥arxiv.org/abs/1910. 02550.
[15] FreedmanB, ShpuntA, MachlineM, et al. 2013-07-23[2019-11-24]. https:∥patents.justia.com/patent/8493496.
费点, 陈建林, 刘东生, 张之江. 基于深度相机的特殊表面定位与修复[J]. 光学学报, 2020, 40(21): 2115002. Dian Fei, Jianlin Chen, Dongsheng Liu, Zhijiang Zhang. Depth Camera-Based Location and Restoration of Special Surface[J]. Acta Optica Sinica, 2020, 40(21): 2115002.