Artículos de revistas sobre el tema "3D point cloud representation"
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Arya, Hemlata, Parul Saxena y Jaimala Jha. "Detection of 3D Object in Point Cloud: Cloud Semantic Segmentation in Lane Marking". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 10s (7 de octubre de 2023): 376–81. http://dx.doi.org/10.17762/ijritcc.v11i10s.7645.
Texto completoBarnefske, E. y H. Sternberg. "PCCT: A POINT CLOUD CLASSIFICATION TOOL TO CREATE 3D TRAINING DATA TO ADJUST AND DEVELOP 3D CONVNET". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (17 de septiembre de 2019): 35–40. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-35-2019.
Texto completoOrts-Escolano, Sergio, Jose Garcia-Rodriguez, Miguel Cazorla, Vicente Morell, Jorge Azorin, Marcelo Saval, Alberto Garcia-Garcia y Victor Villena. "Bioinspired point cloud representation: 3D object tracking". Neural Computing and Applications 29, n.º 9 (16 de septiembre de 2016): 663–72. http://dx.doi.org/10.1007/s00521-016-2585-0.
Texto completoRai, A., N. Srivastava, K. Khoshelham y K. Jain. "SEMANTIC ENRICHMENT OF 3D POINT CLOUDS USING 2D IMAGE SEGMENTATION". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (14 de diciembre de 2023): 1659–66. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1659-2023.
Texto completoSun, Yichen. "3D point cloud domain generalization via adversarial training". Applied and Computational Engineering 13, n.º 1 (23 de octubre de 2023): 160–68. http://dx.doi.org/10.54254/2755-2721/13/20230725.
Texto completoYang, Zexin, Qin Ye, Jantien Stoter y Liangliang Nan. "Enriching Point Clouds with Implicit Representations for 3D Classification and Segmentation". Remote Sensing 15, n.º 1 (22 de diciembre de 2022): 61. http://dx.doi.org/10.3390/rs15010061.
Texto completoQuach, Maurice, Aladine Chetouani, Giuseppe Valenzise y Frederic Dufaux. "A deep perceptual metric for 3D point clouds". Electronic Imaging 2021, n.º 9 (18 de enero de 2021): 257–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-257.
Texto completoDecker, Kevin T. y Brett J. Borghetti. "Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks". Applied Sciences 13, n.º 14 (14 de julio de 2023): 8210. http://dx.doi.org/10.3390/app13148210.
Texto completoLi, Shidi, Miaomiao Liu y Christian Walder. "EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 1386–94. http://dx.doi.org/10.1609/aaai.v36i2.20027.
Texto completoBello, Saifullahi Aminu, Shangshu Yu, Cheng Wang, Jibril Muhmmad Adam y Jonathan Li. "Review: Deep Learning on 3D Point Clouds". Remote Sensing 12, n.º 11 (28 de mayo de 2020): 1729. http://dx.doi.org/10.3390/rs12111729.
Texto completoLin, Yu, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao y Latifur Khan. "Single View Point Cloud Generation via Unified 3D Prototype". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de mayo de 2021): 2064–72. http://dx.doi.org/10.1609/aaai.v35i3.16303.
Texto completoWang, Yang y Shunping Xiao. "Affinity-Point Graph Convolutional Network for 3D Point Cloud Analysis". Applied Sciences 12, n.º 11 (25 de mayo de 2022): 5328. http://dx.doi.org/10.3390/app12115328.
Texto completoWang, Tiansheng. "PG-Net:3D point cloud completion based on graph convolutional network". Applied and Computational Engineering 13, n.º 1 (23 de octubre de 2023): 189–98. http://dx.doi.org/10.54254/2755-2721/13/20230731.
Texto completoYang, Xi, Mengqing Cao, Cong Li, Hua Zhao y Dong Yang. "Learning Implicit Neural Representation for Satellite Object Mesh Reconstruction". Remote Sensing 15, n.º 17 (24 de agosto de 2023): 4163. http://dx.doi.org/10.3390/rs15174163.
Texto completoZhang, Le, Jian Sun y Qiang Zheng. "3D Point Cloud Recognition Based on a Multi-View Convolutional Neural Network". Sensors 18, n.º 11 (29 de octubre de 2018): 3681. http://dx.doi.org/10.3390/s18113681.
Texto completoFan, Xiangsuo, Dachuan Xiao, Dengsheng Cai y Wentao Ding. "Real Pseudo-Lidar Point Cloud Fusion for 3D Object Detection". Electronics 12, n.º 18 (18 de septiembre de 2023): 3920. http://dx.doi.org/10.3390/electronics12183920.
Texto completoLiu, Shaolei, Kexue Fu, Manning Wang y Zhijian Song. "Group-in-Group Relation-Based Transformer for 3D Point Cloud Learning". Remote Sensing 14, n.º 7 (24 de marzo de 2022): 1563. http://dx.doi.org/10.3390/rs14071563.
Texto completoLiu, Weiping, Jia Sun, Wanyi Li, Ting Hu y Peng Wang. "Deep Learning on Point Clouds and Its Application: A Survey". Sensors 19, n.º 19 (26 de septiembre de 2019): 4188. http://dx.doi.org/10.3390/s19194188.
Texto completoXu, Mutian, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi y Yu Qiao. "Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3056–64. http://dx.doi.org/10.1609/aaai.v35i4.16414.
Texto completoEl Sayed, Abdul Rahman, Abdallah El Chakik, Hassan Alabboud y Adnan Yassine. "An efficient simplification method for point cloud based on salient regions detection". RAIRO - Operations Research 53, n.º 2 (abril de 2019): 487–504. http://dx.doi.org/10.1051/ro/2018082.
Texto completoHairuddin, A., S. Azri, U. Ujang, M. G. Cuétara, G. M. Retortillo y S. Mohd Salleh. "DEVELOPMENT OF 3D CITY MODEL USING VIDEOGRAMMETRY TECHNIQUE". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (1 de octubre de 2019): 221–28. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-221-2019.
Texto completoAtik, Muhammed Enes y Zaide Duran. "An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images". Sensors 22, n.º 16 (18 de agosto de 2022): 6210. http://dx.doi.org/10.3390/s22166210.
Texto completoZhu, Feng, Jieyu Zhao y Zhengyi Cai. "A Contrastive Learning Method for the Visual Representation of 3D Point Clouds". Algorithms 15, n.º 3 (8 de marzo de 2022): 89. http://dx.doi.org/10.3390/a15030089.
Texto completoHuang, Rui, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song y Gao Huang. "Joint representation learning for text and 3D point cloud". Pattern Recognition 147 (marzo de 2024): 110086. http://dx.doi.org/10.1016/j.patcog.2023.110086.
Texto completoLaupheimer, D., M. H. Shams Eddin y N. Haala. "ON THE ASSOCIATION OF LIDAR POINT CLOUDS AND TEXTURED MESHES FOR MULTI-MODAL SEMANTIC SEGMENTATION". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (3 de agosto de 2020): 509–16. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-509-2020.
Texto completoZhang, Jingwen, Zikun Zhou, Guangming Lu, Jiandong Tian y Wenjie Pei. "Robust 3D Tracking with Quality-Aware Shape Completion". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 7 (24 de marzo de 2024): 7160–68. http://dx.doi.org/10.1609/aaai.v38i7.28544.
Texto completoMa, Wuwei, Xi Yang, Qiufeng Wang, Kaizhu Huang y Xiaowei Huang. "Multi-Scope Feature Extraction for Intracranial Aneurysm 3D Point Cloud Completion". Cells 11, n.º 24 (17 de diciembre de 2022): 4107. http://dx.doi.org/10.3390/cells11244107.
Texto completoPoux, F., R. Neuville, P. Hallot y R. Billen. "MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (23 de octubre de 2017): 107–15. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-107-2017.
Texto completoChen, Shuaijun, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang y Xuequan Lu. "Towards uniform point distribution in feature-preserving point cloud filtering". Computational Visual Media 9, n.º 2 (3 de enero de 2023): 249–63. http://dx.doi.org/10.1007/s41095-022-0278-4.
Texto completoMarkiewicz, J. S., Ł. Markiewicz y P. Foryś. "THE COMPARISON OF 2D AND 3D DETECTORS FOR TLS DATA REGISTRATION – PRELIMINARY RESULTS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (31 de enero de 2019): 467–72. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-467-2019.
Texto completoXu, Ronghua, Yu Chen, Genshe Chen y Erik Blasch. "SAUSA: Securing Access, Usage, and Storage of 3D Point CloudData by a Blockchain-Based Authentication Network". Future Internet 14, n.º 12 (28 de noviembre de 2022): 354. http://dx.doi.org/10.3390/fi14120354.
Texto completoHuang, Xiaoshui, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo y Wanli Ouyang. "Frozen CLIP Transformer Is an Efficient Point Cloud Encoder". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 3 (24 de marzo de 2024): 2382–90. http://dx.doi.org/10.1609/aaai.v38i3.28013.
Texto completoYou, Haoxuan, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji y Yue Gao. "PVRNet: Point-View Relation Neural Network for 3D Shape Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 9119–26. http://dx.doi.org/10.1609/aaai.v33i01.33019119.
Texto completoLiu, Huaijin, Jixiang Du, Yong Zhang y Hongbo Zhang. "Enhancing Point Features with Spatial Information for Point-Based 3D Object Detection". Scientific Programming 2021 (21 de diciembre de 2021): 1–11. http://dx.doi.org/10.1155/2021/4650660.
Texto completoFirintepe, Ahmet, Carolin Vey, Stylianos Asteriadis, Alain Pagani y Didier Stricker. "From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation". Journal of Imaging 7, n.º 5 (27 de abril de 2021): 80. http://dx.doi.org/10.3390/jimaging7050080.
Texto completoYu, Siyang, Si Sun, Wei Yan, Guangshuai Liu y Xurui Li. "A Method Based on Curvature and Hierarchical Strategy for Dynamic Point Cloud Compression in Augmented and Virtual Reality System". Sensors 22, n.º 3 (7 de febrero de 2022): 1262. http://dx.doi.org/10.3390/s22031262.
Texto completoPoliyapram, Vinayaraj, Weimin Wang y Ryosuke Nakamura. "A Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation". Remote Sensing 11, n.º 24 (10 de diciembre de 2019): 2961. http://dx.doi.org/10.3390/rs11242961.
Texto completoHoang, Long, Suk-Hwan Lee, Eung-Joo Lee y Ki-Ryong Kwon. "GSV-NET: A Multi-Modal Deep Learning Network for 3D Point Cloud Classification". Applied Sciences 12, n.º 1 (4 de enero de 2022): 483. http://dx.doi.org/10.3390/app12010483.
Texto completoXu, Mingye, Zhipeng Zhou, Junhao Zhang y Yu Qiao. "Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3047–55. http://dx.doi.org/10.1609/aaai.v35i4.16413.
Texto completoHuang, Ming, Xueyu Wu, Xianglei Liu, Tianhang Meng y Peiyuan Zhu. "Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds". Remote Sensing 12, n.º 9 (4 de mayo de 2020): 1452. http://dx.doi.org/10.3390/rs12091452.
Texto completoLeal, Esmeide, German Sanchez-Torres, John W. Branch-Bedoya, Francisco Abad y Nallig Leal. "A Saliency-Based Sparse Representation Method for Point Cloud Simplification". Sensors 21, n.º 13 (23 de junio de 2021): 4279. http://dx.doi.org/10.3390/s21134279.
Texto completoRazali, A. F., M. F. M. Ariff y Z. Majid. "A HYBRID POINT CLOUD REALITY CAPTURE FROM TERRESTRIAL LASER SCANNING AND UAV-PHOTOGRAMMETRY". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022 (25 de febrero de 2022): 459–63. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-459-2022.
Texto completoImdad, Ulfat, Mirza Tahir Ahmed, Muhammad Asif y Hanan Aljuaid. "3D point cloud lossy compression using quadric surfaces". PeerJ Computer Science 7 (6 de octubre de 2021): e675. http://dx.doi.org/10.7717/peerj-cs.675.
Texto completoCastagno, Jeremy y Ella Atkins. "Polylidar3D-Fast Polygon Extraction from 3D Data". Sensors 20, n.º 17 (26 de agosto de 2020): 4819. http://dx.doi.org/10.3390/s20174819.
Texto completoLin, Guoting, Zexun Zheng, Lin Chen, Tianyi Qin y Jiahui Song. "Multi-Modal 3D Shape Clustering with Dual Contrastive Learning". Applied Sciences 12, n.º 15 (22 de julio de 2022): 7384. http://dx.doi.org/10.3390/app12157384.
Texto completoRyu, Min Woo, Sang Min Oh, Min Ju Kim, Hun Hee Cho, Chang Baek Son y Tae Hoon Kim. "Algorithm for Generating 3D Geometric Representation Based on Indoor Point Cloud Data". Applied Sciences 10, n.º 22 (14 de noviembre de 2020): 8073. http://dx.doi.org/10.3390/app10228073.
Texto completoStojanovic, V., M. Trapp, R. Richter y J. Döllner. "A SERVICE-ORIENTED INDOOR POINT CLOUD PROCESSING PIPELINE". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W17 (29 de noviembre de 2019): 339–46. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-339-2019.
Texto completoBeckmann, Sophie, Jean-Claude Rosenthal, Eric L. Wisotzky, Peter Eisert y Anna Hilsmann. "Automatic Registration of Anatomical Structures of Stereo-Endoscopic Point Clouds". Current Directions in Biomedical Engineering 9, n.º 1 (1 de septiembre de 2023): 615–18. http://dx.doi.org/10.1515/cdbme-2023-1154.
Texto completoDu, Han, Benhe Cai, Xiaoming Li, Weixi Wang y Shengjun Tang. "Method for Generating Indoor 3D Scene Graphs Based on Instance Features and Relationship Encoding". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (10 de mayo de 2024): 135–40. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-135-2024.
Texto completoYang, Fan, Mingliang Che, Xinkai Zuo, Lin Li, Jiyi Zhang y Chi Zhang. "Volumetric Representation and Sphere Packing of Indoor Space for Three-Dimensional Room Segmentation". ISPRS International Journal of Geo-Information 10, n.º 11 (29 de octubre de 2021): 739. http://dx.doi.org/10.3390/ijgi10110739.
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