Статті в журналах з теми "Point cloud denoising"
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Hou, Wenguang, Taiwai Chan, and Mingyue Ding. "Denoising point cloud." Inverse Problems in Science and Engineering 20, no. 3 (April 2012): 287–98. http://dx.doi.org/10.1080/17415977.2011.603087.
Повний текст джерелаSi, Shuming, Han Hu, Yulin Ding, Xuekun Yuan, Ying Jiang, Yigao Jin, Xuming Ge, Yeting Zhang, Jie Chen, and Xiaocui Guo. "Multiscale Feature Fusion for the Multistage Denoising of Airborne Single Photon LiDAR." Remote Sensing 15, no. 1 (January 2, 2023): 269. http://dx.doi.org/10.3390/rs15010269.
Повний текст джерелаZHAO, Fu-qun. "Hierarchical point cloud denoising algorithm." Optics and Precision Engineering 28, no. 7 (2020): 1618–25. http://dx.doi.org/10.37188/ope.20202807.1618.
Повний текст джерелаLiang, Xin He, Jin Liang, and Chen Guo. "Scatter Point Cloud Denoising Based on Self-Adaptive Optimal Neighborhood." Advanced Materials Research 97-101 (March 2010): 3631–36. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3631.
Повний текст джерелаLi, Zhiyuan, Jian Wang, Zhenyu Zhang, Fengxiang Jin, Juntao Yang, Wenxiao Sun, and Yi Cao. "A Method Based on Improved iForest for Trunk Extraction and Denoising of Individual Street Trees." Remote Sensing 15, no. 1 (December 25, 2022): 115. http://dx.doi.org/10.3390/rs15010115.
Повний текст джерелаLeal, Esmeide, German Sanchez-Torres, and John W. Branch. "Sparse Regularization-Based Approach for Point Cloud Denoising and Sharp Features Enhancement." Sensors 20, no. 11 (June 5, 2020): 3206. http://dx.doi.org/10.3390/s20113206.
Повний текст джерелаNex, F., and M. Gerke. "Photogrammetric DSM denoising." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (August 11, 2014): 231–38. http://dx.doi.org/10.5194/isprsarchives-xl-3-231-2014.
Повний текст джерелаMugner, E., and N. Seube. "DENOISING OF 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (November 29, 2019): 217–24. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-217-2019.
Повний текст джерелаLiu, Q., X. Jin, Y. J. Yang, Y. C. Zou, and W. Zhang. "Optimization of point cloud preprocessing algorithm for equipped vehicles." Journal of Physics: Conference Series 2383, no. 1 (December 1, 2022): 012080. http://dx.doi.org/10.1088/1742-6596/2383/1/012080.
Повний текст джерелаCUI Xin, 崔. 鑫., 闫秀天 YAN Xiu-tian, and 李世鹏 LI Shi-peng. "Feature-preserving scattered point cloud denoising." Optics and Precision Engineering 25, no. 12 (2017): 3169–78. http://dx.doi.org/10.3788/ope.20172512.3169.
Повний текст джерелаMattei, E., and A. Castrodad. "Point Cloud Denoising via Moving RPCA." Computer Graphics Forum 36, no. 8 (November 2, 2016): 123–37. http://dx.doi.org/10.1111/cgf.13068.
Повний текст джерелаRosman, G., A. Dubrovina, and R. Kimmel. "Patch-Collaborative Spectral Point-Cloud Denoising." Computer Graphics Forum 32, no. 8 (June 3, 2013): 1–12. http://dx.doi.org/10.1111/cgf.12139.
Повний текст джерелаZhao, Can, Yun Ling Shi, and Jun Ting Cheng. "A New near Point Denoising Algorithm for Point Cloud." Advanced Materials Research 479-481 (February 2012): 2152–56. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.2152.
Повний текст джерелаZhu, Ming, Biao Leng, Chunhong Xiao, Gaopeng Hou, Xiangchen Yao, and Kai Li. "Research on Fast Pre-Processing Method of Tunnel Point Cloud Data in Complex Environment." Journal of Physics: Conference Series 2185, no. 1 (January 1, 2022): 012038. http://dx.doi.org/10.1088/1742-6596/2185/1/012038.
Повний текст джерелаLiu, Youyu, Baozhu Zou, Jiao Xu, Siyang Yang, and Yi Li. "Denoising for 3D Point Cloud Based on Regularization of a Statistical Low-Dimensional Manifold." Sensors 22, no. 7 (March 30, 2022): 2666. http://dx.doi.org/10.3390/s22072666.
Повний текст джерелаHui, Z., P. Cheng, L. Wang, Y. Xia, H. Hu, and X. Li. "A NOVEL DENOISING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUD BASED ON EMPIRICAL MODE DECOMPOSITION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1021–25. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1021-2019.
Повний текст джерелаDong, Ting Jian, Hua Peng Ding, Tao Wang, Hao Wang, and Jin Chen. "Adaptive Denoising Algorithm for Scanning Beam Points Based on Angle Thresholds." Applied Mechanics and Materials 741 (March 2015): 204–8. http://dx.doi.org/10.4028/www.scientific.net/amm.741.204.
Повний текст джерелаXu, Xueli, Guohua Geng, Xin Cao, Kang Li, and Mingquan Zhou. "TDNet: transformer-based network for point cloud denoising." Applied Optics 61, no. 6 (December 15, 2021): C80. http://dx.doi.org/10.1364/ao.438396.
Повний текст джерелаZhou, Yiyao, Rui Chen, Yiqiang Zhao, Xiding Ai, and Guoqing Zhou. "Point cloud denoising using non-local collaborative projections." Pattern Recognition 120 (December 2021): 108128. http://dx.doi.org/10.1016/j.patcog.2021.108128.
Повний текст джерелаDinesh, Chinthaka, Gene Cheung, and Ivan V. Bajic. "Point Cloud Denoising via Feature Graph Laplacian Regularization." IEEE Transactions on Image Processing 29 (2020): 4143–58. http://dx.doi.org/10.1109/tip.2020.2969052.
Повний текст джерелаZheng, Yinglong, Guiqing Li, Shihao Wu, Yuxin Liu, and Yuefang Gao. "Guided point cloud denoising via sharp feature skeletons." Visual Computer 33, no. 6-8 (May 10, 2017): 857–67. http://dx.doi.org/10.1007/s00371-017-1391-8.
Повний текст джерелаLiu, Zheng, Xiaowen Xiao, Saishang Zhong, Weina Wang, Yanlei Li, Ling Zhang, and Zhong Xie. "A feature-preserving framework for point cloud denoising." Computer-Aided Design 127 (October 2020): 102857. http://dx.doi.org/10.1016/j.cad.2020.102857.
Повний текст джерелаHu, Wei, Xiang Gao, Gene Cheung, and Zongming Guo. "Feature Graph Learning for 3D Point Cloud Denoising." IEEE Transactions on Signal Processing 68 (2020): 2841–56. http://dx.doi.org/10.1109/tsp.2020.2978617.
Повний текст джерелаLONG, Jia-le, Zi-hao DU, Jian-min ZHANG, Fu-jian CHEN, Hao-yuan GUAN, Ke-sen HUANG, and Rui SUN. "Point cloud denoising method based on image segmentation." Chinese Journal of Liquid Crystals and Displays 38, no. 1 (2023): 104–17. http://dx.doi.org/10.37188/cjlcd.2022-0171.
Повний текст джерелаGuo, Jiao, Ke Li, and Hao Xu. "A Local Enhancement Method for Large-Scale Building Facade Depth Images using Densely Matched Point Clouds." Advances in Multimedia 2022 (August 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/3175998.
Повний текст джерелаWang, Jingli, Huiyuan Zhang, Jingxiang Gao, and Dong Xiao. "Dust Removal from 3D Point Cloud Data in Mine Plane Areas Based on Orthogonal Total Least Squares Fitting and GA-TELM." Computational Intelligence and Neuroscience 2021 (September 13, 2021): 1–8. http://dx.doi.org/10.1155/2021/9927982.
Повний текст джерелаIrfan, Muhammad Abeer, and Enrico Magli. "Exploiting color for graph-based 3D point cloud denoising." Journal of Visual Communication and Image Representation 75 (February 2021): 103027. http://dx.doi.org/10.1016/j.jvcir.2021.103027.
Повний текст джерелаHu, Wei, Qianjiang Hu, Zehua Wang, and Xiang Gao. "Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance." IEEE Transactions on Image Processing 30 (2021): 6168–83. http://dx.doi.org/10.1109/tip.2021.3092826.
Повний текст джерелаChen, Honghua, Zeyong Wei, Xianzhi Li, Yabin Xu, Mingqiang Wei, and Jun Wang. "RePCD-Net: Feature-Aware Recurrent Point Cloud Denoising Network." International Journal of Computer Vision 130, no. 3 (January 17, 2022): 615–29. http://dx.doi.org/10.1007/s11263-021-01564-7.
Повний текст джерелаYan, Chuang, Ya Wei, Yong Xiao, and Linbing Wang. "Pavement 3D Data Denoising Algorithm Based on Cell Meshing Ellipsoid Detection." Sensors 21, no. 7 (March 25, 2021): 2310. http://dx.doi.org/10.3390/s21072310.
Повний текст джерелаHuo, Kai, Hui Yang, Hairong Fang, Shijian Shi, and Yufei Chen. "Simplification of point cloud data for large-scale ellipsoidal complex surface." Journal of Physics: Conference Series 2029, no. 1 (September 1, 2021): 012061. http://dx.doi.org/10.1088/1742-6596/2029/1/012061.
Повний текст джерелаYang, Zeyin. "3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence." International Journal of Analytical Chemistry 2022 (July 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/5710535.
Повний текст джерелаYan, Jieqiong, Laishui Zhou, Jun Wang, Xiaoping Wang, and Xia Liu. "Structural Feature-Preserving Point Cloud Denoising Method for Aero-Engine Profile." International Journal of Aerospace Engineering 2022 (March 16, 2022): 1–24. http://dx.doi.org/10.1155/2022/9565062.
Повний текст джерелаCheng, Dongyang, Dangjun Zhao, Junchao Zhang, Caisheng Wei, and Di Tian. "PCA-Based Denoising Algorithm for Outdoor Lidar Point Cloud Data." Sensors 21, no. 11 (May 26, 2021): 3703. http://dx.doi.org/10.3390/s21113703.
Повний текст джерелаShi, Chunhao, Chunyang Wang, Xuelian Liu, Shaoyu Sun, Bo Xiao, Xuemei Li, and Guorui Li. "Three-dimensional point cloud denoising via a gravitational feature function." Applied Optics 61, no. 6 (February 10, 2022): 1331. http://dx.doi.org/10.1364/ao.446913.
Повний текст джерелаCao, Feifei. "An Algorithm of Anisotropy and Self-adaptive Point Cloud Denoising." Journal of Information and Computational Science 11, no. 8 (May 20, 2014): 2827–34. http://dx.doi.org/10.12733/jics20103697.
Повний текст джерелаLi Renzhong, 李仁忠, 杨曼 Yang Man, 冉媛 Ran Yuan, 张缓缓 Zhang Huanhuan, 景军锋 Jing Junfeng, and 李鹏飞 Li Pengfei. "Point Cloud Denoising and Simplification Algorithm Based on Method Library." Laser & Optoelectronics Progress 55, no. 1 (2018): 011008. http://dx.doi.org/10.3788/lop55.011008.
Повний текст джерелаZhang, Xue, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, and Stanley H. Chan. "Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement." IEEE Transactions on Image Processing 31 (2022): 6863–78. http://dx.doi.org/10.1109/tip.2022.3214077.
Повний текст джерелаYang, Yang, Ming Li, and Xie Ma. "An Advanced Vehicle Body Part Inspection Scheme Based on Scattered Point Cloud Data." Applied Sciences 10, no. 15 (August 4, 2020): 5379. http://dx.doi.org/10.3390/app10155379.
Повний текст джерелаLi, Xingdong, Zhiming Gao, Xiandong Chen, Shufa Sun, and Jiuqing Liu. "Research on Estimation Method of Geometric Features of Structured Negative Obstacle Based on Single-Frame 3D Laser Point Cloud." Information 12, no. 6 (May 30, 2021): 235. http://dx.doi.org/10.3390/info12060235.
Повний текст джерелаZhang, Liming, Lei Wang, Xu du, and Fanbo Meng. "CAD-Aided 3D Reconstruction of Intelligent Manufacturing Image Based on Time Series." Scientific Programming 2022 (March 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/9022563.
Повний текст джерелаHao, Zhonghua, Shiwei Ma, Hui Chen, and Jingjing Liu. "Dataset Denoising Based on Manifold Assumption." Mathematical Problems in Engineering 2021 (January 18, 2021): 1–14. http://dx.doi.org/10.1155/2021/6432929.
Повний текст джерелаZhu, Guokai, Chunmei Li, and Yuexi Zhong. "Point cloud registration method based on Particle Swarm Optimization algorithm and improved ICP." Journal of Physics: Conference Series 2395, no. 1 (December 1, 2022): 012078. http://dx.doi.org/10.1088/1742-6596/2395/1/012078.
Повний текст джерелаCao Xiong, 曹雄, 林兆祥 Lin Zhaoxiang, 宋沙磊 Song Shalei, 王滨辉 Wang Binhui, 何东 He Dong та 刘中正 Liu Zhongzheng. "基于颜色聚类的多光谱激光雷达点云去噪". Laser & Optoelectronics Progress 58, № 12 (2021): 1228002. http://dx.doi.org/10.3788/lop202158.1228002.
Повний текст джерелаLiu, Chun, Meijing Guang, and Shanshan Yu. "Point cloud and BIM model registration based on genetic algorithm and ICP algorithm." Journal of Physics: Conference Series 2132, no. 1 (December 1, 2021): 012007. http://dx.doi.org/10.1088/1742-6596/2132/1/012007.
Повний текст джерелаIrfan, Muhammad Abeer, and Enrico Magli. "Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets." IEEE Access 9 (2021): 21149–66. http://dx.doi.org/10.1109/access.2021.3054171.
Повний текст джерелаZhou, Lang, Guoxing Sun, Yong Li, Weiqing Li, and Zhiyong Su. "Point cloud denoising review: from classical to deep learning-based approaches." Graphical Models 121 (May 2022): 101140. http://dx.doi.org/10.1016/j.gmod.2022.101140.
Повний текст джерелаZhu, Dingkun, Honghua Chen, Weiming Wang, Haoran Xie, Gary Cheng, Mingqiang Wei, Jun Wang, and Fu Lee Wang. "Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces." IEEE Transactions on Instrumentation and Measurement 71 (2022): 1–14. http://dx.doi.org/10.1109/tim.2021.3139686.
Повний текст джерелаZhao Kai, 赵凯, 徐友春 Xu Youchun, 李永乐 Li Yongle, and 王任栋 Wang Rendong. "Large-Scale Scattered Point-Cloud Denoising Based on VG-DBSCAN Algorithm." Acta Optica Sinica 38, no. 10 (2018): 1028001. http://dx.doi.org/10.3788/aos201838.1028001.
Повний текст джерелаYong-hua, Shan, Zhang Xu-qing, Niu Xue-feng, Yang guo-dong, and Zhang Ji-Kai. "Denoising Algorithm of Airborne LIDAR Point Cloud Based on 3D Grid." International Journal of Signal Processing, Image Processing and Pattern Recognition 10, no. 3 (March 31, 2017): 85–92. http://dx.doi.org/10.14257/ijsip.2017.10.3.09.
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