Literatura académica sobre el tema "Point cloud denoising"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Point cloud denoising".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Point cloud denoising"
Hou, Wenguang, Taiwai Chan y Mingyue Ding. "Denoising point cloud". Inverse Problems in Science and Engineering 20, n.º 3 (abril de 2012): 287–98. http://dx.doi.org/10.1080/17415977.2011.603087.
Texto completoSi, Shuming, Han Hu, Yulin Ding, Xuekun Yuan, Ying Jiang, Yigao Jin, Xuming Ge, Yeting Zhang, Jie Chen y Xiaocui Guo. "Multiscale Feature Fusion for the Multistage Denoising of Airborne Single Photon LiDAR". Remote Sensing 15, n.º 1 (2 de enero de 2023): 269. http://dx.doi.org/10.3390/rs15010269.
Texto completoZHAO, Fu-qun. "Hierarchical point cloud denoising algorithm". Optics and Precision Engineering 28, n.º 7 (2020): 1618–25. http://dx.doi.org/10.37188/ope.20202807.1618.
Texto completoLiang, Xin He, Jin Liang y Chen Guo. "Scatter Point Cloud Denoising Based on Self-Adaptive Optimal Neighborhood". Advanced Materials Research 97-101 (marzo de 2010): 3631–36. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3631.
Texto completoLi, Zhiyuan, Jian Wang, Zhenyu Zhang, Fengxiang Jin, Juntao Yang, Wenxiao Sun y Yi Cao. "A Method Based on Improved iForest for Trunk Extraction and Denoising of Individual Street Trees". Remote Sensing 15, n.º 1 (25 de diciembre de 2022): 115. http://dx.doi.org/10.3390/rs15010115.
Texto completoLeal, Esmeide, German Sanchez-Torres y John W. Branch. "Sparse Regularization-Based Approach for Point Cloud Denoising and Sharp Features Enhancement". Sensors 20, n.º 11 (5 de junio de 2020): 3206. http://dx.doi.org/10.3390/s20113206.
Texto completoNex, F. y M. Gerke. "Photogrammetric DSM denoising". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (11 de agosto de 2014): 231–38. http://dx.doi.org/10.5194/isprsarchives-xl-3-231-2014.
Texto completoMugner, E. y N. Seube. "DENOISING OF 3D POINT CLOUDS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (29 de noviembre de 2019): 217–24. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-217-2019.
Texto completoLiu, Q., X. Jin, Y. J. Yang, Y. C. Zou y W. Zhang. "Optimization of point cloud preprocessing algorithm for equipped vehicles". Journal of Physics: Conference Series 2383, n.º 1 (1 de diciembre de 2022): 012080. http://dx.doi.org/10.1088/1742-6596/2383/1/012080.
Texto completoCUI Xin, 崔. 鑫., 闫秀天 YAN Xiu-tian y 李世鹏 LI Shi-peng. "Feature-preserving scattered point cloud denoising". Optics and Precision Engineering 25, n.º 12 (2017): 3169–78. http://dx.doi.org/10.3788/ope.20172512.3169.
Texto completoTesis sobre el tema "Point cloud denoising"
Lee, Kai-wah y 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.
Texto completoLee, 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.
Texto completoIRFAN, MUHAMMAD ABEER. "Joint geometry and color denoising for 3D point clouds". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2912976.
Texto completoCapítulos de libros sobre el tema "Point cloud denoising"
Zaman, Faisal, Ya Ping Wong y Boon Yian Ng. "Density-Based Denoising of Point Cloud". En 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.
Texto completoPistilli, Francesca, Giulia Fracastoro, Diego Valsesia y Enrico Magli. "Learning Graph-Convolutional Representations for Point Cloud Denoising". En Computer Vision – ECCV 2020, 103–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58565-5_7.
Texto completoLi, Yushi y George Baciu. "PC-OPT: A SfM Point Cloud Denoising Algorithm". En Lecture Notes in Computer Science, 280–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62362-3_25.
Texto completoMao, Aihua, Zihui Du, Yu-Hui Wen, Jun Xuan y Yong-Jin Liu. "PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows". En Lecture Notes in Computer Science, 398–415. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20062-5_23.
Texto completoSiyong, Fu y Wu Lushen. "Denoising Point Cloud Based on the Connexity of Spatial Grid". En 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.
Texto completoCastillo, Edward, Jian Liang y Hongkai Zhao. "Point Cloud Segmentation and Denoising via Constrained Nonlinear Least Squares Normal Estimates". En Mathematics and Visualization, 283–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34141-0_13.
Texto completoMorales, Rixio, Yunhong Wang y Zhaoxiang Zhang. "Unstructured Point Cloud Surface Denoising and Decimation Using Distance RBF K-Nearest Neighbor Kernel". En 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.
Texto completoChen, Lei, Yuan Yuan y Shide Song. "Hierarchical Denoising Method of Crop 3D Point Cloud Based on Multi-view Image Reconstruction". En 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.
Texto completoActas de conferencias sobre el tema "Point cloud denoising"
Gao, Xianz, Wei Hu y Zongming Guo. "Graph-Based Point Cloud Denoising". En 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM). IEEE, 2018. http://dx.doi.org/10.1109/bigmm.2018.8499090.
Texto completoLuo, Shitong y Wei Hu. "Score-Based Point Cloud Denoising". En 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00454.
Texto completoHuang, Wenming, Yuanwang Li, Peizhi Wen y Xiaojun Wu. "Algorithm for 3D Point Cloud Denoising". En 2009 Third International Conference on Genetic and Evolutionary Computing (WGEC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wgec.2009.139.
Texto completoAlmonacid, Jonathan, Celia Cintas, Claudio Derieux y Mirtha Lewis. "Point Cloud Denoising using Deep Learning". En 2018 Argentine Congress of Computer Science and Research Development (CACIDI). IEEE, 2018. http://dx.doi.org/10.1109/cacidi.2018.8584185.
Texto completoLuo, Shitong y Wei Hu. "Differentiable Manifold Reconstruction for Point Cloud Denoising". En MM '20: The 28th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394171.3413727.
Texto completoShang, Xin, Rong Ye, Hui Feng y Xueqin Jiang. "Robust Feature Graph for Point Cloud Denoising". En 2022 7th International Conference on Communication, Image and Signal Processing (CCISP). IEEE, 2022. http://dx.doi.org/10.1109/ccisp55629.2022.9974370.
Texto completoSmítka, Václav y Martin Štroner. "3D scanner point cloud denoising by near points surface fitting". En SPIE Optical Metrology 2013, editado por Fabio Remondino, Mark R. Shortis, Jürgen Beyerer y Fernando Puente León. SPIE, 2013. http://dx.doi.org/10.1117/12.2020254.
Texto completoXing, Jinrui, Hui Yuan, Chen Chen y Tian Guo. "Wiener Filter-Based Point Cloud Adaptive Denoising for Video-based Point Cloud Compression". En MM '22: The 30th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3552457.3555733.
Texto completoPhuong, Nguyen Thi Huu, Dang Van Duc y Nguyen Truong Xuan. "LIDAR POINT CLOUD DENOISING METHOD USING NOMINAL POINT SPACING (NPS)". En 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.
Texto completoLi, Xiaozhi y Xiaojiu Li. "3D Body Point Cloud Data Denoising and Registration". En 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.376.
Texto completo