Статті в журналах з теми "Computer vision-based framework"
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Almaghout, K., and A. Klimchik. "Vision-Based Robotic Comanipulation for Deforming Cables." Nelineinaya Dinamika 18, no. 5 (2022): 0. http://dx.doi.org/10.20537/nd221213.
Повний текст джерелаOhta, Yuichi. "3D Image Media and Computer Vision -From CV as Robot Technology to CV as Media Technology-." Journal of Robotics and Mechatronics 9, no. 2 (April 20, 1997): 92–97. http://dx.doi.org/10.20965/jrm.1997.p0092.
Повний текст джерелаMorley, Terence, Tim Morris, and Martin Turner. "A Computer Vision Encyclopedia-Based Framework with Illustrative UAV Applications." Computers 10, no. 3 (March 4, 2021): 29. http://dx.doi.org/10.3390/computers10030029.
Повний текст джерелаSHA, Liang, Guijin WANG, Xinggang LIN, and Kongqiao WANG. "A Framework of Real Time Hand Gesture Vision Based Human-Computer Interaction." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E94-A, no. 3 (2011): 979–89. http://dx.doi.org/10.1587/transfun.e94.a.979.
Повний текст джерелаIvorra, Eugenio, Mario Ortega, José Catalán, Santiago Ezquerro, Luis Lledó, Nicolás Garcia-Aracil, and Mariano Alcañiz. "Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms." Sensors 18, no. 8 (July 24, 2018): 2408. http://dx.doi.org/10.3390/s18082408.
Повний текст джерелаAtaş, Musa. "Open Cezeri Library: A novel java based matrix and computer vision framework." Computer Applications in Engineering Education 24, no. 5 (May 17, 2016): 736–43. http://dx.doi.org/10.1002/cae.21745.
Повний текст джерелаSharma, Rajeev, and Jose Molineros. "Computer Vision-Based Augmented Reality for Guiding Manual Assembly." Presence: Teleoperators and Virtual Environments 6, no. 3 (June 1997): 292–317. http://dx.doi.org/10.1162/pres.1997.6.3.292.
Повний текст джерелаSaha, Sourav, Sahibjot Kaur, Jayanta Basak, and Priya Ranjan Sinha Mahapatra. "A Computer Vision Framework for Automated Shape Retrieval." American Journal of Advanced Computing 1, no. 1 (January 1, 2020): 1–15. http://dx.doi.org/10.15864/ajac.1108.
Повний текст джерелаFarahbakhsh, Ehsan, Rohitash Chandra, Hugo K. H. Olierook, Richard Scalzo, Chris Clark, Steven M. Reddy, and R. Dietmar Müller. "Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data." International Journal of Remote Sensing 41, no. 5 (October 11, 2019): 1760–87. http://dx.doi.org/10.1080/01431161.2019.1674462.
Повний текст джерелаZhuang, Yizhou, Weimin Chen, Tao Jin, Bin Chen, He Zhang, and Wen Zhang. "A Review of Computer Vision-Based Structural Deformation Monitoring in Field Environments." Sensors 22, no. 10 (May 16, 2022): 3789. http://dx.doi.org/10.3390/s22103789.
Повний текст джерелаChen, Guoming, and Qinghua Liu. "Overview of ship image recognition methods based on computer vision." Journal of Physics: Conference Series 2387, no. 1 (November 1, 2022): 012001. http://dx.doi.org/10.1088/1742-6596/2387/1/012001.
Повний текст джерелаDVORAK, J., and H. BUNKE. "CONCEPT AND REALIZATION OF A HYBRID AI TOOL APPLIED TO COMPUTER VISION." International Journal on Artificial Intelligence Tools 03, no. 04 (December 1994): 451–66. http://dx.doi.org/10.1142/s0218213094000261.
Повний текст джерелаDeng, Hui, Zhibin Ou, Genjie Zhang, Yichuan Deng, and Mao Tian. "BIM and Computer Vision-Based Framework for Fire Emergency Evacuation Considering Local Safety Performance." Sensors 21, no. 11 (June 2, 2021): 3851. http://dx.doi.org/10.3390/s21113851.
Повний текст джерелаZhuo, Ying, Lan Yan, Wenbo Zheng, Yutian Zhang, and Chao Gou. "A Novel Vehicle Detection Framework Based on Parallel Vision." Wireless Communications and Mobile Computing 2022 (January 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/9667506.
Повний текст джерелаSharma, Rajeev, and Narayan Srinivasa. "A framework for active vision-based robot control using neural networks." Robotica 16, no. 3 (May 1998): 309–27. http://dx.doi.org/10.1017/s0263574798000381.
Повний текст джерелаZhang, Xiaoming, and Hui Yin. "A Monocular Vision-Based Framework for Power Cable Cross-Section Measurement." Energies 12, no. 15 (August 6, 2019): 3034. http://dx.doi.org/10.3390/en12153034.
Повний текст джерелаDas, Abhishek, and Sourav Saha. "A Computer Vision based Framework for Detecting Potholes on Asphalt-Road using Machine Learning Approach." American Journal of Advanced Computing 1, no. 4 (October 1, 2020): 1–5. http://dx.doi.org/10.15864/ajac.1402.
Повний текст джерелаGuerrero-Osuna, Héctor A., Jesús Antonio Nava-Pintor, Carlos Alberto Olvera-Olvera, Teodoro Ibarra-Pérez, Rocío Carrasco-Navarro, and Luis F. Luque-Vega. "Educational Mechatronics Training System Based on Computer Vision for Mobile Robots." Sustainability 15, no. 2 (January 11, 2023): 1386. http://dx.doi.org/10.3390/su15021386.
Повний текст джерелаQi, Wen, Ning Wang, Hang Su, and Andrea Aliverti. "DCNN based human activity recognition framework with depth vision guiding." Neurocomputing 486 (May 2022): 261–71. http://dx.doi.org/10.1016/j.neucom.2021.11.044.
Повний текст джерелаTiwari, Rohit Kumar, and Gyanendra K. Verma. "A Computer Vision based Framework for Visual Gun Detection Using Harris Interest Point Detector." Procedia Computer Science 54 (2015): 703–12. http://dx.doi.org/10.1016/j.procs.2015.06.083.
Повний текст джерелаAlam, Muhammad Shahab, Mansoor Alam, Muhammad Tufail, Muhammad Umer Khan, Ahmet Güneş, Bashir Salah, Fazal E. Nasir, Waqas Saleem, and Muhammad Tahir Khan. "TobSet: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-Based Spraying by Agricultural Robots." Applied Sciences 12, no. 3 (January 26, 2022): 1308. http://dx.doi.org/10.3390/app12031308.
Повний текст джерелаBelyakov, P. V., M. B. Nikiforov, E. R. Muratov, and O. V. Melnik. "Stereo vision-based variational optical flow estimation." E3S Web of Conferences 224 (2020): 01027. http://dx.doi.org/10.1051/e3sconf/202022401027.
Повний текст джерелаRamesh, M., and K. Mahesh. "Sports Video Classification Framework Using Enhanced Threshold Based Keyframe Selection Algorithm and Customized CNN on UCF101 and Sports1-M Dataset." Computational Intelligence and Neuroscience 2022 (December 8, 2022): 1–15. http://dx.doi.org/10.1155/2022/3218431.
Повний текст джерелаHe, Zhaoliang, Hongshan Li, Zhi Wang, Shutao Xia, and Wenwu Zhu. "Adaptive Compression for Online Computer Vision: An Edge Reinforcement Learning Approach." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 4 (November 30, 2021): 1–23. http://dx.doi.org/10.1145/3447878.
Повний текст джерелаLiu, Yishu, and Jun Li. "Brand Marketing Decision Support System Based on Computer Vision and Parallel Computing." Wireless Communications and Mobile Computing 2022 (March 30, 2022): 1–14. http://dx.doi.org/10.1155/2022/7416106.
Повний текст джерелаVarghese, Prathibha, and Dr G. Arockia Selva Saroja. "A Novel Hexagonal Psuedo framework for Edge Detection Operators on Hexagonal Framework." International Journal of Electrical and Electronics Research 10, no. 4 (December 30, 2022): 1036–42. http://dx.doi.org/10.37391/ijeer.100446.
Повний текст джерелаP A, Spoorthi, Anitha G S, Bhavana S J, and Jayashree A M. "Classification of Rail Track Defects Based on Computer Vision Using DNN." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 4983–94. http://dx.doi.org/10.22214/ijraset.2022.45968.
Повний текст джерелаCui, Jingwen, Jianping Zhang, Guiling Sun, and Bowen Zheng. "Extraction and Research of Crop Feature Points Based on Computer Vision." Sensors 19, no. 11 (June 4, 2019): 2553. http://dx.doi.org/10.3390/s19112553.
Повний текст джерелаLu, Guo Liang, Yi Qi Zhou, and Xue Yong Li. "Mechanical Parts Recognition with 3D Graphical Modeling." Applied Mechanics and Materials 644-650 (September 2014): 4505–8. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4505.
Повний текст джерелаChakroun, Marwa, Sonda Ammar Bouhamed, Imene Khanfir Kallel, Basel Solaiman, and Houda Derbel. "Feature selection based on discriminative power under uncertainty for computer vision applications." ELCVIA Electronic Letters on Computer Vision and Image Analysis 21, no. 1 (June 28, 2022): 111–20. http://dx.doi.org/10.5565/rev/elcvia.1361.
Повний текст джерелаBi, Qilin, Minling Lai, Huiling Tang, Yanyao Guo, Jinyuan Li, Xinhong Zeng, and Zhijun Liu. "Precise Inspection of Geometric Parameters for Polyvinyl Chloride Pipe Section Based on Computer Vision." Traitement du Signal 38, no. 6 (December 31, 2021): 1647–55. http://dx.doi.org/10.18280/ts.380608.
Повний текст джерелаPan, Zaolin, Cheng Su, Yichuan Deng, and Jack Cheng. "Image2Triplets: A computer vision-based explicit relationship extraction framework for updating construction activity knowledge graphs." Computers in Industry 137 (May 2022): 103610. http://dx.doi.org/10.1016/j.compind.2022.103610.
Повний текст джерелаLai, Yutao, Jianye Chen, Qi Hong, Zhekai Li, Haitian Liu, Benhao Lu, Ruihao Ma, et al. "Framework for long-term structural health monitoring by computer vision and vibration-based model updating." Case Studies in Construction Materials 16 (June 2022): e01020. http://dx.doi.org/10.1016/j.cscm.2022.e01020.
Повний текст джерелаSemeniuta, Oleksandr, and Petter Falkman. "EPypes: a framework for building event-driven data processing pipelines." PeerJ Computer Science 5 (February 11, 2019): e176. http://dx.doi.org/10.7717/peerj-cs.176.
Повний текст джерелаBalanji, Hamid Majidi, Ali Emre Turgut, and Lutfi Taner Tunc. "A novel vision-based calibration framework for industrial robotic manipulators." Robotics and Computer-Integrated Manufacturing 73 (February 2022): 102248. http://dx.doi.org/10.1016/j.rcim.2021.102248.
Повний текст джерелаMu, Guangyu, and Tingting Li. "Video-Based Metric Learning Framework for Basketball Skill Assessment." International Journal of e-Collaboration 19, no. 5 (January 27, 2023): 1–13. http://dx.doi.org/10.4018/ijec.316875.
Повний текст джерелаDang, Minh. "Efficient Vision-Based Face Image Manipulation Identification Framework Based on Deep Learning." Electronics 11, no. 22 (November 17, 2022): 3773. http://dx.doi.org/10.3390/electronics11223773.
Повний текст джерелаTroncoso-Pastoriza, Francisco, Pablo Eguía-Oller, Rebeca Díaz-Redondo, Enrique Granada-Álvarez, and Aitor Erkoreka. "Orientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision." Sensors 19, no. 7 (March 28, 2019): 1516. http://dx.doi.org/10.3390/s19071516.
Повний текст джерелаYarkony, Julian, Yossiri Adulyasak, Maneesh Singh, and Guy Desaulniers. "Data Association via Set Packing for Computer Vision Applications." INFORMS Journal on Optimization 2, no. 3 (July 2020): 167–91. http://dx.doi.org/10.1287/ijoo.2019.0030.
Повний текст джерелаShaikh, Imran, and Kadam V.K. "Automatic Computer Propped Diagnosis Framework of Liver Cancer Detection using CNN LSTM." International Journal of Engineering Research in Electronics and Communication Engineering 9, no. 2 (February 28, 2022): 1–8. http://dx.doi.org/10.36647/ijerece/09.02.a001.
Повний текст джерелаGabbar, Hossam A., Abderrazak Chahid, Md Jamiul Alam Khan, Oluwabukola Grace Adegboro, and Matthew Immanuel Samson. "CTIMS: Automated Defect Detection Framework Using Computed Tomography." Applied Sciences 12, no. 4 (February 19, 2022): 2175. http://dx.doi.org/10.3390/app12042175.
Повний текст джерелаShashank and Indu Sreedevi. "Spatiotemporal Activity Mapping for Enhanced Multi-Object Detection with Reduced Resource Utilization." Electronics 12, no. 1 (December 22, 2022): 37. http://dx.doi.org/10.3390/electronics12010037.
Повний текст джерелаBadawi, Aiman, and Muhammad Bilal. "A Hardware-Software Co-Design for Object Detection Using High-Level Synthesis Tools." International Journal of Electronics, Communications, and Measurement Engineering 8, no. 1 (January 2019): 63–73. http://dx.doi.org/10.4018/ijecme.2019010105.
Повний текст джерелаWang, Zhen, Guoshan Xu, Yong Ding, Bin Wu, and Guoyu Lu. "A vision-based active learning convolutional neural network model for concrete surface crack detection." Advances in Structural Engineering 23, no. 13 (June 8, 2020): 2952–64. http://dx.doi.org/10.1177/1369433220924792.
Повний текст джерелаMneymneh, Bahaa Eddine, Mohamad Abbas, and Hiam Khoury. "Vision-Based Framework for Intelligent Monitoring of Hardhat Wearing on Construction Sites." Journal of Computing in Civil Engineering 33, no. 2 (March 2019): 04018066. http://dx.doi.org/10.1061/(asce)cp.1943-5487.0000813.
Повний текст джерелаWeikl, Korbinian, Damien Schroeder, Daniel Blau, Zhenyi Liu, and Walter Stechele. "End-to-End Imaging System Optimization for Computer Vision in Driving Automation." Electronic Imaging 2021, no. 17 (January 18, 2021): 173–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.17.avm-173.
Повний текст джерелаQian, Yan, Johan Barthelemy, Umair Iqbal, and Pascal Perez. "V2ReID: Vision-Outlooker-Based Vehicle Re-Identification." Sensors 22, no. 22 (November 9, 2022): 8651. http://dx.doi.org/10.3390/s22228651.
Повний текст джерелаLiu, Xiaobo, Junya Yan, and Yuxin Zhang. "Research on Multitarget Detection and Intelligent Tracking Technology Based on Computer Vision." Mobile Information Systems 2022 (September 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/4864604.
Повний текст джерелаFicuciello, F., A. Migliozzi, G. Laudante, P. Falco, and B. Siciliano. "Vision-based grasp learning of an anthropomorphic hand-arm system in a synergy-based control framework." Science Robotics 4, no. 26 (January 30, 2019): eaao4900. http://dx.doi.org/10.1126/scirobotics.aao4900.
Повний текст джерелаLu, Shida, Kai Huang, Talha Meraj, and Hafiz Tayyab Rauf. "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks." PeerJ Computer Science 8 (April 6, 2022): e879. http://dx.doi.org/10.7717/peerj-cs.879.
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