Статті в журналах з теми "3D point cloud representation"
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Arya, Hemlata, Parul Saxena, and 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, no. 10s (October 7, 2023): 376–81. http://dx.doi.org/10.17762/ijritcc.v11i10s.7645.
Повний текст джерелаBarnefske, E., and 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 (September 17, 2019): 35–40. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-35-2019.
Повний текст джерелаOrts-Escolano, Sergio, Jose Garcia-Rodriguez, Miguel Cazorla, Vicente Morell, Jorge Azorin, Marcelo Saval, Alberto Garcia-Garcia, and Victor Villena. "Bioinspired point cloud representation: 3D object tracking." Neural Computing and Applications 29, no. 9 (September 16, 2016): 663–72. http://dx.doi.org/10.1007/s00521-016-2585-0.
Повний текст джерелаRai, A., N. Srivastava, K. Khoshelham, and 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 (December 14, 2023): 1659–66. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-1659-2023.
Повний текст джерелаSun, Yichen. "3D point cloud domain generalization via adversarial training." Applied and Computational Engineering 13, no. 1 (October 23, 2023): 160–68. http://dx.doi.org/10.54254/2755-2721/13/20230725.
Повний текст джерелаYang, Zexin, Qin Ye, Jantien Stoter, and Liangliang Nan. "Enriching Point Clouds with Implicit Representations for 3D Classification and Segmentation." Remote Sensing 15, no. 1 (December 22, 2022): 61. http://dx.doi.org/10.3390/rs15010061.
Повний текст джерелаQuach, Maurice, Aladine Chetouani, Giuseppe Valenzise, and Frederic Dufaux. "A deep perceptual metric for 3D point clouds." Electronic Imaging 2021, no. 9 (January 18, 2021): 257–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-257.
Повний текст джерелаDecker, Kevin T., and 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, no. 14 (July 14, 2023): 8210. http://dx.doi.org/10.3390/app13148210.
Повний текст джерелаLi, Shidi, Miaomiao Liu, and Christian Walder. "EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 1386–94. http://dx.doi.org/10.1609/aaai.v36i2.20027.
Повний текст джерелаBello, Saifullahi Aminu, Shangshu Yu, Cheng Wang, Jibril Muhmmad Adam, and Jonathan Li. "Review: Deep Learning on 3D Point Clouds." Remote Sensing 12, no. 11 (May 28, 2020): 1729. http://dx.doi.org/10.3390/rs12111729.
Повний текст джерелаLin, Yu, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao, and Latifur Khan. "Single View Point Cloud Generation via Unified 3D Prototype." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (May 18, 2021): 2064–72. http://dx.doi.org/10.1609/aaai.v35i3.16303.
Повний текст джерелаWang, Yang, and Shunping Xiao. "Affinity-Point Graph Convolutional Network for 3D Point Cloud Analysis." Applied Sciences 12, no. 11 (May 25, 2022): 5328. http://dx.doi.org/10.3390/app12115328.
Повний текст джерелаWang, Tiansheng. "PG-Net:3D point cloud completion based on graph convolutional network." Applied and Computational Engineering 13, no. 1 (October 23, 2023): 189–98. http://dx.doi.org/10.54254/2755-2721/13/20230731.
Повний текст джерелаYang, Xi, Mengqing Cao, Cong Li, Hua Zhao, and Dong Yang. "Learning Implicit Neural Representation for Satellite Object Mesh Reconstruction." Remote Sensing 15, no. 17 (August 24, 2023): 4163. http://dx.doi.org/10.3390/rs15174163.
Повний текст джерелаZhang, Le, Jian Sun, and Qiang Zheng. "3D Point Cloud Recognition Based on a Multi-View Convolutional Neural Network." Sensors 18, no. 11 (October 29, 2018): 3681. http://dx.doi.org/10.3390/s18113681.
Повний текст джерелаFan, Xiangsuo, Dachuan Xiao, Dengsheng Cai, and Wentao Ding. "Real Pseudo-Lidar Point Cloud Fusion for 3D Object Detection." Electronics 12, no. 18 (September 18, 2023): 3920. http://dx.doi.org/10.3390/electronics12183920.
Повний текст джерелаLiu, Shaolei, Kexue Fu, Manning Wang, and Zhijian Song. "Group-in-Group Relation-Based Transformer for 3D Point Cloud Learning." Remote Sensing 14, no. 7 (March 24, 2022): 1563. http://dx.doi.org/10.3390/rs14071563.
Повний текст джерелаLiu, Weiping, Jia Sun, Wanyi Li, Ting Hu, and Peng Wang. "Deep Learning on Point Clouds and Its Application: A Survey." Sensors 19, no. 19 (September 26, 2019): 4188. http://dx.doi.org/10.3390/s19194188.
Повний текст джерелаXu, Mutian, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, and Yu Qiao. "Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (May 18, 2021): 3056–64. http://dx.doi.org/10.1609/aaai.v35i4.16414.
Повний текст джерелаEl Sayed, Abdul Rahman, Abdallah El Chakik, Hassan Alabboud, and Adnan Yassine. "An efficient simplification method for point cloud based on salient regions detection." RAIRO - Operations Research 53, no. 2 (April 2019): 487–504. http://dx.doi.org/10.1051/ro/2018082.
Повний текст джерелаHairuddin, A., S. Azri, U. Ujang, M. G. Cuétara, G. M. Retortillo, and 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 (October 1, 2019): 221–28. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-221-2019.
Повний текст джерелаAtik, Muhammed Enes, and Zaide Duran. "An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images." Sensors 22, no. 16 (August 18, 2022): 6210. http://dx.doi.org/10.3390/s22166210.
Повний текст джерелаZhu, Feng, Jieyu Zhao, and Zhengyi Cai. "A Contrastive Learning Method for the Visual Representation of 3D Point Clouds." Algorithms 15, no. 3 (March 8, 2022): 89. http://dx.doi.org/10.3390/a15030089.
Повний текст джерелаHuang, Rui, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song, and Gao Huang. "Joint representation learning for text and 3D point cloud." Pattern Recognition 147 (March 2024): 110086. http://dx.doi.org/10.1016/j.patcog.2023.110086.
Повний текст джерелаLaupheimer, D., M. H. Shams Eddin, and 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 (August 3, 2020): 509–16. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-509-2020.
Повний текст джерелаZhang, Jingwen, Zikun Zhou, Guangming Lu, Jiandong Tian, and Wenjie Pei. "Robust 3D Tracking with Quality-Aware Shape Completion." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 7 (March 24, 2024): 7160–68. http://dx.doi.org/10.1609/aaai.v38i7.28544.
Повний текст джерелаMa, Wuwei, Xi Yang, Qiufeng Wang, Kaizhu Huang, and Xiaowei Huang. "Multi-Scope Feature Extraction for Intracranial Aneurysm 3D Point Cloud Completion." Cells 11, no. 24 (December 17, 2022): 4107. http://dx.doi.org/10.3390/cells11244107.
Повний текст джерелаPoux, F., R. Neuville, P. Hallot, and R. Billen. "MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (October 23, 2017): 107–15. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-107-2017.
Повний текст джерелаChen, Shuaijun, Jinxi Wang, Wei Pan, Shang Gao, Meili Wang, and Xuequan Lu. "Towards uniform point distribution in feature-preserving point cloud filtering." Computational Visual Media 9, no. 2 (January 3, 2023): 249–63. http://dx.doi.org/10.1007/s41095-022-0278-4.
Повний текст джерелаMarkiewicz, J. S., Ł. Markiewicz, and 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 (January 31, 2019): 467–72. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-467-2019.
Повний текст джерелаXu, Ronghua, Yu Chen, Genshe Chen, and Erik Blasch. "SAUSA: Securing Access, Usage, and Storage of 3D Point CloudData by a Blockchain-Based Authentication Network." Future Internet 14, no. 12 (November 28, 2022): 354. http://dx.doi.org/10.3390/fi14120354.
Повний текст джерелаHuang, Xiaoshui, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo, and Wanli Ouyang. "Frozen CLIP Transformer Is an Efficient Point Cloud Encoder." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (March 24, 2024): 2382–90. http://dx.doi.org/10.1609/aaai.v38i3.28013.
Повний текст джерелаYou, Haoxuan, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, and Yue Gao. "PVRNet: Point-View Relation Neural Network for 3D Shape Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9119–26. http://dx.doi.org/10.1609/aaai.v33i01.33019119.
Повний текст джерелаLiu, Huaijin, Jixiang Du, Yong Zhang, and Hongbo Zhang. "Enhancing Point Features with Spatial Information for Point-Based 3D Object Detection." Scientific Programming 2021 (December 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/4650660.
Повний текст джерелаFirintepe, Ahmet, Carolin Vey, Stylianos Asteriadis, Alain Pagani, and Didier Stricker. "From IR Images to Point Clouds to Pose: Point Cloud-Based AR Glasses Pose Estimation." Journal of Imaging 7, no. 5 (April 27, 2021): 80. http://dx.doi.org/10.3390/jimaging7050080.
Повний текст джерелаYu, Siyang, Si Sun, Wei Yan, Guangshuai Liu, and Xurui Li. "A Method Based on Curvature and Hierarchical Strategy for Dynamic Point Cloud Compression in Augmented and Virtual Reality System." Sensors 22, no. 3 (February 7, 2022): 1262. http://dx.doi.org/10.3390/s22031262.
Повний текст джерелаPoliyapram, Vinayaraj, Weimin Wang, and Ryosuke Nakamura. "A Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation." Remote Sensing 11, no. 24 (December 10, 2019): 2961. http://dx.doi.org/10.3390/rs11242961.
Повний текст джерелаHoang, Long, Suk-Hwan Lee, Eung-Joo Lee, and Ki-Ryong Kwon. "GSV-NET: A Multi-Modal Deep Learning Network for 3D Point Cloud Classification." Applied Sciences 12, no. 1 (January 4, 2022): 483. http://dx.doi.org/10.3390/app12010483.
Повний текст джерелаXu, Mingye, Zhipeng Zhou, Junhao Zhang, and Yu Qiao. "Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (May 18, 2021): 3047–55. http://dx.doi.org/10.1609/aaai.v35i4.16413.
Повний текст джерелаHuang, Ming, Xueyu Wu, Xianglei Liu, Tianhang Meng, and 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, no. 9 (May 4, 2020): 1452. http://dx.doi.org/10.3390/rs12091452.
Повний текст джерелаLeal, Esmeide, German Sanchez-Torres, John W. Branch-Bedoya, Francisco Abad, and Nallig Leal. "A Saliency-Based Sparse Representation Method for Point Cloud Simplification." Sensors 21, no. 13 (June 23, 2021): 4279. http://dx.doi.org/10.3390/s21134279.
Повний текст джерелаRazali, A. F., M. F. M. Ariff, and 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 (February 25, 2022): 459–63. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-459-2022.
Повний текст джерелаImdad, Ulfat, Mirza Tahir Ahmed, Muhammad Asif, and Hanan Aljuaid. "3D point cloud lossy compression using quadric surfaces." PeerJ Computer Science 7 (October 6, 2021): e675. http://dx.doi.org/10.7717/peerj-cs.675.
Повний текст джерелаCastagno, Jeremy, and Ella Atkins. "Polylidar3D-Fast Polygon Extraction from 3D Data." Sensors 20, no. 17 (August 26, 2020): 4819. http://dx.doi.org/10.3390/s20174819.
Повний текст джерелаLin, Guoting, Zexun Zheng, Lin Chen, Tianyi Qin, and Jiahui Song. "Multi-Modal 3D Shape Clustering with Dual Contrastive Learning." Applied Sciences 12, no. 15 (July 22, 2022): 7384. http://dx.doi.org/10.3390/app12157384.
Повний текст джерелаRyu, Min Woo, Sang Min Oh, Min Ju Kim, Hun Hee Cho, Chang Baek Son, and Tae Hoon Kim. "Algorithm for Generating 3D Geometric Representation Based on Indoor Point Cloud Data." Applied Sciences 10, no. 22 (November 14, 2020): 8073. http://dx.doi.org/10.3390/app10228073.
Повний текст джерелаStojanovic, V., M. Trapp, R. Richter, and 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 (November 29, 2019): 339–46. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w17-339-2019.
Повний текст джерелаBeckmann, Sophie, Jean-Claude Rosenthal, Eric L. Wisotzky, Peter Eisert, and Anna Hilsmann. "Automatic Registration of Anatomical Structures of Stereo-Endoscopic Point Clouds." Current Directions in Biomedical Engineering 9, no. 1 (September 1, 2023): 615–18. http://dx.doi.org/10.1515/cdbme-2023-1154.
Повний текст джерелаDu, Han, Benhe Cai, Xiaoming Li, Weixi Wang, and 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 (May 10, 2024): 135–40. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-135-2024.
Повний текст джерелаYang, Fan, Mingliang Che, Xinkai Zuo, Lin Li, Jiyi Zhang, and Chi Zhang. "Volumetric Representation and Sphere Packing of Indoor Space for Three-Dimensional Room Segmentation." ISPRS International Journal of Geo-Information 10, no. 11 (October 29, 2021): 739. http://dx.doi.org/10.3390/ijgi10110739.
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