Academic literature on the topic 'Point cloud denoising'
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Journal articles on the topic "Point cloud denoising"
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.
Full textSi, 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.
Full textZHAO, 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.
Full textLiang, 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.
Full textLi, 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.
Full textLeal, 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.
Full textNex, 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.
Full textMugner, 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.
Full textLiu, 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.
Full textCUI 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.
Full textDissertations / Theses on the topic "Point cloud denoising"
Lee, Kai-wah, and 李啟華. "Mesh denoising and feature extraction from point cloud data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42664330.
Full textLee, Kai-wah. "Mesh denoising and feature extraction from point cloud data." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42664330.
Full textIRFAN, MUHAMMAD ABEER. "Joint geometry and color denoising for 3D point clouds." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2912976.
Full textBook chapters on the topic "Point cloud denoising"
Zaman, Faisal, Ya Ping Wong, and Boon Yian Ng. "Density-Based Denoising of Point Cloud." In 9th International Conference on Robotic, Vision, Signal Processing and Power Applications, 287–95. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1721-6_31.
Full textPistilli, Francesca, Giulia Fracastoro, Diego Valsesia, and Enrico Magli. "Learning Graph-Convolutional Representations for Point Cloud Denoising." In Computer Vision – ECCV 2020, 103–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58565-5_7.
Full textLi, Yushi, and George Baciu. "PC-OPT: A SfM Point Cloud Denoising Algorithm." In Lecture Notes in Computer Science, 280–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62362-3_25.
Full textMao, Aihua, Zihui Du, Yu-Hui Wen, Jun Xuan, and Yong-Jin Liu. "PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows." In Lecture Notes in Computer Science, 398–415. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20062-5_23.
Full textSiyong, Fu, and Wu Lushen. "Denoising Point Cloud Based on the Connexity of Spatial Grid." In Advances in Intelligent Systems and Computing, 12–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00214-5_2.
Full textCastillo, Edward, Jian Liang, and Hongkai Zhao. "Point Cloud Segmentation and Denoising via Constrained Nonlinear Least Squares Normal Estimates." In Mathematics and Visualization, 283–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34141-0_13.
Full textMorales, Rixio, Yunhong Wang, and Zhaoxiang Zhang. "Unstructured Point Cloud Surface Denoising and Decimation Using Distance RBF K-Nearest Neighbor Kernel." In Advances in Multimedia Information Processing - PCM 2010, 214–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15696-0_20.
Full textChen, Lei, Yuan Yuan, and Shide Song. "Hierarchical Denoising Method of Crop 3D Point Cloud Based on Multi-view Image Reconstruction." In Computer and Computing Technologies in Agriculture XI, 416–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06137-1_38.
Full textConference papers on the topic "Point cloud denoising"
Gao, Xianz, Wei Hu, and Zongming Guo. "Graph-Based Point Cloud Denoising." In 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM). IEEE, 2018. http://dx.doi.org/10.1109/bigmm.2018.8499090.
Full textLuo, Shitong, and Wei Hu. "Score-Based Point Cloud Denoising." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00454.
Full textHuang, Wenming, Yuanwang Li, Peizhi Wen, and Xiaojun Wu. "Algorithm for 3D Point Cloud Denoising." In 2009 Third International Conference on Genetic and Evolutionary Computing (WGEC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wgec.2009.139.
Full textAlmonacid, Jonathan, Celia Cintas, Claudio Derieux, and Mirtha Lewis. "Point Cloud Denoising using Deep Learning." In 2018 Argentine Congress of Computer Science and Research Development (CACIDI). IEEE, 2018. http://dx.doi.org/10.1109/cacidi.2018.8584185.
Full textLuo, Shitong, and Wei Hu. "Differentiable Manifold Reconstruction for Point Cloud Denoising." In MM '20: The 28th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394171.3413727.
Full textShang, Xin, Rong Ye, Hui Feng, and Xueqin Jiang. "Robust Feature Graph for Point Cloud Denoising." In 2022 7th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2022. http://dx.doi.org/10.1109/ccisp55629.2022.9974370.
Full textSmítka, Václav, and Martin Štroner. "3D scanner point cloud denoising by near points surface fitting." In SPIE Optical Metrology 2013, edited by Fabio Remondino, Mark R. Shortis, Jürgen Beyerer, and Fernando Puente León. SPIE, 2013. http://dx.doi.org/10.1117/12.2020254.
Full textXing, Jinrui, Hui Yuan, Chen Chen, and Tian Guo. "Wiener Filter-Based Point Cloud Adaptive Denoising for Video-based Point Cloud Compression." In MM '22: The 30th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3552457.3555733.
Full textPhuong, Nguyen Thi Huu, Dang Van Duc, and Nguyen Truong Xuan. "LIDAR POINT CLOUD DENOISING METHOD USING NOMINAL POINT SPACING (NPS)." In THE 14TH NATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED INFORMATION TECHNOLOGY RESEARCH. Nhà xuất bản Khoa học tự nhiên và Công nghệ, 2021. http://dx.doi.org/10.15625/vap.2021.0073.
Full textLi, Xiaozhi, and Xiaojiu Li. "3D Body Point Cloud Data Denoising and Registration." In 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.376.
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