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Artykuły w czasopismach na temat "Système de multi-Camera"
Guo Peiyao, 郭珮瑶, 蒲志远 Pu Zhiyuan i 马展 Ma Zhan. "多相机系统:成像增强及应用". Laser & Optoelectronics Progress 58, nr 18 (2021): 1811013. http://dx.doi.org/10.3788/lop202158.1811013.
Pełny tekst źródłaXiao Yifan, 肖一帆, i 胡伟 Hu Wei. "基于多相机系统的高精度标定". Laser & Optoelectronics Progress 60, nr 20 (2023): 2015003. http://dx.doi.org/10.3788/lop222787.
Pełny tekst źródłaZhao Yanfang, 赵艳芳, 孙鹏 Sun Peng, 董明利 Dong Mingli, 刘其林 Liu Qilin, 燕必希 Yan Bixi i 王君 Wang Jun. "多相机视觉测量系统在轨自主定向方法". Laser & Optoelectronics Progress 61, nr 10 (2024): 1011003. http://dx.doi.org/10.3788/lop231907.
Pełny tekst źródłaRen Guoyin, 任国印, 吕晓琪 Xiaoqi Lü i 李宇豪 Li Yuhao. "多摄像机视场下基于一种DTN的多人脸实时跟踪系统". Laser & Optoelectronics Progress 59, nr 2 (2022): 0210004. http://dx.doi.org/10.3788/lop202259.0210004.
Pełny tekst źródłaKulathunga, Geesara, Aleksandr Buyval i Aleksandr Klimchik. "Multi-Camera Fusion in Apollo Software Distribution". IFAC-PapersOnLine 52, nr 8 (2019): 49–54. http://dx.doi.org/10.1016/j.ifacol.2019.08.047.
Pełny tekst źródłaMehta, S. S., i T. F. Burks. "Multi-camera Fruit Localization in Robotic Harvesting". IFAC-PapersOnLine 49, nr 16 (2016): 90–95. http://dx.doi.org/10.1016/j.ifacol.2016.10.017.
Pełny tekst źródłaR.Kennady, Et al. "A Nonoverlapping Vision Field Multi-Camera Network for Tracking Human Build Targets". International Journal on Recent and Innovation Trends in Computing and Communication 11, nr 3 (31.03.2023): 366–69. http://dx.doi.org/10.17762/ijritcc.v11i3.9871.
Pełny tekst źródłaGuler, Puren, Deniz Emeksiz, Alptekin Temizel, Mustafa Teke i Tugba Taskaya Temizel. "Real-time multi-camera video analytics system on GPU". Journal of Real-Time Image Processing 11, nr 3 (27.03.2013): 457–72. http://dx.doi.org/10.1007/s11554-013-0337-2.
Pełny tekst źródłaHuang, Sunan, Rodney Swee Huat Teo i William Wai Lun Leong. "Multi-Camera Networks for Coverage Control of Drones". Drones 6, nr 3 (3.03.2022): 67. http://dx.doi.org/10.3390/drones6030067.
Pełny tekst źródłaWANG, Liang. "Multi-Camera Calibration Based on 1D Calibration Object". ACTA AUTOMATICA SINICA 33, nr 3 (2007): 0225. http://dx.doi.org/10.1360/aas-007-0225.
Pełny tekst źródłaRozprawy doktorskie na temat "Système de multi-Camera"
Mennillo, Laurent. "Reconstruction 3D de l'environnement dynamique d'un véhicule à l'aide d'un système multi-caméras hétérogène en stéréo wide-baseline". Thesis, Université Clermont Auvergne (2017-2020), 2019. http://www.theses.fr/2019CLFAC022/document.
Pełny tekst źródłaThis Ph.D. thesis, which has been carried out in the automotive industry in association with Renault Group, mainly focuses on the development of advanced driver-assistance systems and autonomous vehicles. The progress made by the scientific community during the last decades in the fields of computer science and robotics has been so important that it now enables the implementation of complex embedded systems in vehicles. These systems, primarily designed to provide assistance in simple driving scenarios and emergencies, now aim to offer fully autonomous transport. Multibody SLAM methods currently used in autonomous vehicles often rely on high-performance and expensive onboard sensors such as LIDAR systems. On the other hand, digital video cameras are much cheaper, which has led to their increased use in newer vehicles to provide driving assistance functions, such as parking assistance or emergency braking. Furthermore, this relatively common implementation now allows to consider their use in order to reconstruct the dynamic environment surrounding a vehicle in three dimensions. From a scientific point of view, existing multibody visual SLAM techniques can be divided into two categories of methods. The first and oldest category concerns stereo methods, which use several cameras with overlapping fields of view in order to reconstruct the observed dynamic scene. Most of these methods use identical stereo pairs in short baseline, which allows for the dense matching of feature points to estimate disparity maps that are then used to compute the motions of the scene. The other category concerns monocular methods, which only use one camera during the reconstruction process, meaning that they have to compensate for the ego-motion of the acquisition system in order to estimate the motion of other objects. These methods are more difficult in that they have to address several additional problems, such as motion segmentation, which consists in clustering the initial data into separate subspaces representing the individual movement of each object, but also the problem of the relative scale estimation of these objects before their aggregation within the static scene. The industrial motive for this work lies in the use of existing multi-camera systems already present in actual vehicles to perform dynamic scene reconstruction. These systems, being mostly composed of a front camera accompanied by several surround fisheye cameras in wide-baseline stereo, has led to the development of a multibody reconstruction method dedicated to such heterogeneous systems. The proposed method is incremental and allows for the reconstruction of sparse mobile points as well as their trajectory using several geometric constraints. Finally, a quantitative and qualitative evaluation conducted on two separate datasets, one of which was developed during this thesis in order to present characteristics similar to existing multi-camera systems, is provided
Petit, Benjamin. "Téléprésence, immersion et interactions pour le reconstruction 3D temps-réel". Phd thesis, Université de Grenoble, 2011. http://tel.archives-ouvertes.fr/tel-00584001.
Pełny tekst źródłaKim, Jae-Hak, i Jae-Hak Kim@anu edu au. "Camera Motion Estimation for Multi-Camera Systems". The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20081211.011120.
Pełny tekst źródłaKim, Jae-Hak. "Camera motion estimation for multi-camera systems /". View thesis entry in Australian Digital Theses Program, 2008. http://thesis.anu.edu.au/public/adt-ANU20081211.011120/index.html.
Pełny tekst źródłaJiang, Xiaoyan [Verfasser]. "Multi-Object Tracking-by-Detection Using Multi-Camera Systems / Xiaoyan Jiang". München : Verlag Dr. Hut, 2016. http://d-nb.info/1084385325/34.
Pełny tekst źródłaKrucki, Kevin C. "Person Re-identification in Multi-Camera Surveillance Systems". University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448997579.
Pełny tekst źródłaHammarlund, Emil. "Target-less and targeted multi-camera color calibration". Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33876.
Pełny tekst źródłaÅkesson, Ulrik. "Design of a multi-camera system for object identification, localisation, and visual servoing". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44082.
Pełny tekst źródłaTuresson, Eric. "Multi-camera Computer Vision for Object Tracking: A comparative study". Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21810.
Pełny tekst źródłaNadella, Suman. "Multi camera stereo and tracking patient motion for SPECT scanning systems". Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-082905-161037/.
Pełny tekst źródłaKeywords: Feature matching in multiple cameras; Multi camera stereo computation; Patient Motion Tracking; SPECT Imaging Includes bibliographical references. (p.84-88)
Książki na temat "Système de multi-Camera"
Beach, David Michael. Multi-camera benchmark localization for mobile robot networks. 2004.
Znajdź pełny tekst źródłaBeach, David Michael. Multi-camera benchmark localization for mobile robot networks. 2005.
Znajdź pełny tekst źródłaKnorr, Moritz. Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing. Saint Philip Street Press, 2020.
Znajdź pełny tekst źródłaCerqueira, Manuel D. Gated SPECT MPI. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0006.
Pełny tekst źródłaCzęści książek na temat "Système de multi-Camera"
Porikli, Fatih. "Multi-Camera Surveillance". W Multisensor Surveillance Systems, 183–98. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0371-2_10.
Pełny tekst źródłaJirafe, Apurva, Mayuri Jibhe i V. R. Satpute. "Camera Handoff for Multi-camera Surveillance". W Algorithms for Intelligent Systems, 267–74. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4862-2_29.
Pełny tekst źródłaPopovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin i Yusuf Leblebici. "Omnidirectional Multi-Camera Systems Design". W Design and Implementation of Real-Time Multi-Sensor Vision Systems, 69–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_4.
Pełny tekst źródłaPopovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin i Yusuf Leblebici. "Miniaturization of Multi-Camera Systems". W Design and Implementation of Real-Time Multi-Sensor Vision Systems, 89–115. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_5.
Pełny tekst źródłaJaved, Omar, i Mubarak Shah. "Knight Surveillance System Deployment". W Automated Multi-Camera Surveillance: Algorithms and Practice, 1–5. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78881-4_6.
Pełny tekst źródłaFrahm, Jan-Michael, Kevin Köser i Reinhard Koch. "Pose Estimation for Multi-camera Systems". W Lecture Notes in Computer Science, 286–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28649-3_35.
Pełny tekst źródłaBrückner, Marcel, i Joachim Denzler. "Active Self-calibration of Multi-camera Systems". W Lecture Notes in Computer Science, 31–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15986-2_4.
Pełny tekst źródłaBae, Soonmin. "Dense 3D Reconstruction in Multi-camera Systems". W Progress in Optomechatronic Technologies, 51–59. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05711-8_6.
Pełny tekst źródłaMatsuyama, Takashi, Shohei Nobuhara, Takeshi Takai i Tony Tung. "Multi-camera Systems for 3D Video Production". W 3D Video and Its Applications, 17–44. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4120-4_2.
Pełny tekst źródłaPopovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin i Yusuf Leblebici. "State-of-the-Art Multi-Camera Systems". W Design and Implementation of Real-Time Multi-Sensor Vision Systems, 13–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_2.
Pełny tekst źródłaStreszczenia konferencji na temat "Système de multi-Camera"
Dondo, Diego Gonzalez, Fernando Trasobares, Leandro Yoaquino, Julian Padilla i Javier Redolfi. "Calibration of multi-camera systems". W 2015 XVI Workshop on Information Processing and Control (RPIC). IEEE, 2015. http://dx.doi.org/10.1109/rpic.2015.7497094.
Pełny tekst źródłaSalman, Bakhita, Mohammed I. Thanoon, Saleh Zein-Sabatto i Fenghui Yao. "Multi-camera Smart Surveillance System". W 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.78.
Pełny tekst źródłaNapoletano, Paolo, i Francesco Tisato. "An attentive multi-camera system". W IS&T/SPIE Electronic Imaging, redaktorzy Kurt S. Niel i Philip R. Bingham. SPIE, 2014. http://dx.doi.org/10.1117/12.2042652.
Pełny tekst źródłaBehera, Reena Kumari, Pallavi Kharade, Suresh Yerva, Pranali Dhane, Ankita Jain i Krishnan Kutty. "Multi-camera based surveillance system". W 2012 World Congress on Information and Communication Technologies (WICT). IEEE, 2012. http://dx.doi.org/10.1109/wict.2012.6409058.
Pełny tekst źródłaYang, Feng, Zhao Liming, Zhang Yi i Kuang Hengyang. "Multi-camera System Depth Estimation". W 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734714.
Pełny tekst źródłaCostache, Alexandru, Dan Popescu, Cosmin Popa i Stefan Mocanu. "Multi-Camera Video Surveillance". W 2019 22nd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2019. http://dx.doi.org/10.1109/cscs.2019.00096.
Pełny tekst źródłaKumar, Avinash, Manjula Gururaj, Kalpana Seshadrinathan i Ramkumar Narayanswamy. "Multi-capture Dynamic Calibration of Multi-camera Systems". W 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2018. http://dx.doi.org/10.1109/cvprw.2018.00238.
Pełny tekst źródłaWu, Haoyu, Shaomin Xiong i Toshiki Hirano. "A Real-Time Human Recognition and Tracking System With a Dual-Camera Setup". W ASME 2019 28th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/isps2019-7469.
Pełny tekst źródłaZhong, Jianghua, W. Bastiaan Kleijn i Xiaoming Hu. "Video quality improvement for multi-camera systems using camera control". W 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896924.
Pełny tekst źródłaZhao, Chunhui, Bin Fan, Jinwen Hu, Limin Tian, Zhiyuan Zhang, Sijia Li i Quan Pan. "Pose estimation for multi-camera systems". W 2017 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2017. http://dx.doi.org/10.1109/icus.2017.8278403.
Pełny tekst źródłaRaporty organizacyjne na temat "Système de multi-Camera"
Davis, Tim, Frank Lang, Joe Sinneger, Paul Stabile i John Tower. Multi-Band Infrared Camera Systems. Fort Belvoir, VA: Defense Technical Information Center, grudzień 1994. http://dx.doi.org/10.21236/ada294028.
Pełny tekst źródłaFrankel, Martin, i Jon A. Webb. Design, Implementation, and Performance of a Scalable Multi-Camera Interactive Video Capture System,. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 1995. http://dx.doi.org/10.21236/ada303255.
Pełny tekst źródłaTao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir i Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, grudzień 2014. http://dx.doi.org/10.32747/2014.7594391.bard.
Pełny tekst źródłaAnderson, Gerald L., i Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, grudzień 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
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