Auswahl der wissenschaftlichen Literatur zum Thema „2D Images - 3D Models“
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Zeitschriftenartikel zum Thema "2D Images - 3D Models"
Yang, Guangjie, Aidi Gong, Pei Nie, Lei Yan, Wenjie Miao, Yujun Zhao, Jie Wu, Jingjing Cui, Yan Jia und Zhenguang Wang. „Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma“. Molecular Imaging 18 (01.01.2019): 153601211988316. http://dx.doi.org/10.1177/1536012119883161.
Der volle Inhalt der QuelleIyoho, Anthony E., Jonathan M. Young, Vladislav Volman, David A. Shelley, Laurel J. Ng und Henry Wang. „3D Tibia Reconstruction Using 2D Computed Tomography Images“. Military Medicine 184, Supplement_1 (01.03.2019): 621–26. http://dx.doi.org/10.1093/milmed/usy379.
Der volle Inhalt der QuelleOsadchy, Margarita, David Jacobs, Ravi Ramamoorthi und David Tucker. „Using specularities in comparing 3D models and 2D images“. Computer Vision and Image Understanding 111, Nr. 3 (September 2008): 275–94. http://dx.doi.org/10.1016/j.cviu.2007.12.004.
Der volle Inhalt der QuelleAvesta, Arman, Sajid Hossain, MingDe Lin, Mariam Aboian, Harlan M. Krumholz und Sanjay Aneja. „Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation“. Bioengineering 10, Nr. 2 (01.02.2023): 181. http://dx.doi.org/10.3390/bioengineering10020181.
Der volle Inhalt der QuellePetre, Raluca-Diana, und Titus Zaharia. „3D Model-Based Semantic Categorization of Still Image 2D Objects“. International Journal of Multimedia Data Engineering and Management 2, Nr. 4 (Oktober 2011): 19–37. http://dx.doi.org/10.4018/jmdem.2011100102.
Der volle Inhalt der QuelleLi, Yu, Shaohua Li und Bo Zhang. „Constructing of 3D Fluvial Reservoir Model Based on 2D Training Images“. Applied Sciences 13, Nr. 13 (25.06.2023): 7497. http://dx.doi.org/10.3390/app13137497.
Der volle Inhalt der QuelleZhong, Chunyan, Yanli Guo, Haiyun Huang, Liwen Tan, Yi Wu und Wenting Wang. „Three-Dimensional Reconstruction of Coronary Arteries and Its Application in Localization of Coronary Artery Segments Corresponding to Myocardial Segments Identified by Transthoracic Echocardiography“. Computational and Mathematical Methods in Medicine 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/783939.
Der volle Inhalt der QuelleChoi, Chang-Hyuk, Hee-Chan Kim, Daewon Kang und Jun-Young Kim. „Comparative study of glenoid version and inclination using two-dimensional images from computed tomography and three-dimensional reconstructed bone models“. Clinics in Shoulder and Elbow 23, Nr. 3 (01.09.2020): 119–24. http://dx.doi.org/10.5397/cise.2020.00220.
Der volle Inhalt der QuelleFalah .K, Rasha, und Rafeef Mohammed .H. „Convert 2D shapes in to 3D images“. Journal of Al-Qadisiyah for computer science and mathematics 9, Nr. 2 (20.08.2017): 19–23. http://dx.doi.org/10.29304/jqcm.2017.9.2.146.
Der volle Inhalt der QuelleSezer, Sümeyye, Vitoria Piai, Roy P. C. Kessels und Mark ter Laan. „Information Recall in Pre-Operative Consultation for Glioma Surgery Using Actual Size Three-Dimensional Models“. Journal of Clinical Medicine 9, Nr. 11 (13.11.2020): 3660. http://dx.doi.org/10.3390/jcm9113660.
Der volle Inhalt der QuelleDissertationen zum Thema "2D Images - 3D Models"
Zhang, Yan. „Feature-based automatic registration of images with 2D and 3D models“. Thesis, University of Central Lancashire, 2006. http://clok.uclan.ac.uk/21603/.
Der volle Inhalt der QuelleStebbing, Richard. „Model-based segmentation methods for analysis of 2D and 3D ultrasound images and sequences“. Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:f0e855ca-5ed9-4e40-994c-9b470d5594bf.
Der volle Inhalt der QuelleLópez, Picazo Mirella. „3D subject-specific shape and density modeling of the lumbar spine from 2D DXA images for osteoporosis assessment“. Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666513.
Der volle Inhalt der QuelleLa osteoporosis es la enfermedad ósea más común, con una morbilidad y mortalidad significativas causadas por el aumento de la fragilidad ósea y la susceptibilidad a las fracturas. La absorciometría de rayos X de energía dual (DXA, por sus siglas en inglés) es la técnica de referencia para la evaluación de la osteoporosis y del riesgo de fracturas en la columna vertebral. Sin embargo, el análisis estándar de las imágenes DXA solo proporciona mediciones 2D y no diferencia entre los compartimentos óseos; tampoco evalúa la densidad ósea en el cuerpo vertebral, que es donde se producen la mayoría de las fracturas osteoporóticas. La tomografía computarizada cuantitativa (QCT, por sus siglas en inglés) es una técnica alternativa que supera las limitaciones del diagnóstico basado en DXA. Sin embargo, debido al alto costo y la dosis de radiación, la QCT no se usa para el diagnóstico de la osteoporosis. En esta tesis, se propone un método que proporciona una estimación personalizada de la forma 3D y la densidad de la columna vertebral en la zona lumbar a partir de una única imagen DXA anteroposterior. El método se basa en un modelo estadístico 3D de forma y densidad creado a partir de un conjunto de entrenamiento de exploraciones QCT. La estimación 3D personalizada de forma y densidad se obtiene al registrar y ajustar el modelo estadístico con la imagen DXA. Se segmentan los compartimentos óseos corticales y trabeculares utilizando un algoritmo basado en modelos. Se realizan mediciones 3D en diferentes regiones vertebrales y compartimentos óseos. La precisión de los métodos propuestos se evalúa comparando las mediciones 3D derivadas de DXA con las derivadas de QCT. También se realizan dos estudios de casos y controles: un estudio retrospectivo que evalúa la capacidad de las mediciones 3D derivadas de DXA en la columna lumbar para discriminar entre sujetos con fracturas vertebrales relacionadas con la osteoporosis y sujetos control; y un estudio que evalúa la asociación entre las mediciones 3D derivadas de DXA en la columna lumbar y las fracturas de cadera relacionadas con la osteoporosis. En ambos estudios, se encuentran asociaciones más fuertes entre las fracturas relacionadas con la osteoporosis y las mediciones 3D derivadas de DXA en comparación con las mediciones estándar 2D. La tecnología desarrollada dentro de esta tesis ofrece un análisis en 3D de la columna lumbar, que podría mejorar la evaluación de la osteoporosis y el riesgo de fractura en pacientes que se sometieron a una exploración DXA estándar de la columna lumbar sin ningún examen adicional.
Wasswa, William. „3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting“. Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/23777.
Der volle Inhalt der QuelleKarlsson, Edlund Patrick. „Methods and models for 2D and 3D image analysis in microscopy, in particular for the study of muscle cells“. Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9201.
Der volle Inhalt der QuelleHua, Xiaoben, und Yuxia Yang. „A Fusion Model For Enhancement of Range Images“. Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2203.
Der volle Inhalt der QuelleRoom 401, No.56, Lane 21, Yin Gao Road, Shanghai, China
Ben, Abdallah Hamdi. „Inspection d'assemblages aéronautiques par vision 2D/3D en exploitant la maquette numérique et la pose estimée en temps réel Three-dimensional point cloud analysis for automatic inspection of complex aeronautical mechanical assemblies Automatic inspection of aeronautical mechanical assemblies by matching the 3D CAD model and real 2D images“. Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2020. http://www.theses.fr/2020EMAC0001.
Der volle Inhalt der QuelleThis thesis makes part of a research aimed towards innovative digital tools for the service of what is commonly referred to as Factory of the Future. Our work was conducted in the scope of the joint research laboratory "Inspection 4.0" founded by IMT Mines Albi/ICA and the company DIOTA specialized in the development of numerical tools for Industry 4.0. In the thesis, we were interested in the development of systems exploiting 2D images or (and) 3D point clouds for the automatic inspection of complex aeronautical mechanical assemblies (typically an aircraft engine). The CAD (Computer Aided Design) model of the assembly is at our disposal and our task is to verify that the assembly has been correctly assembled, i.e. that all the elements constituting the assembly are present in the right position and at the right place. The CAD model serves as a reference. We have developed two inspection scenarios that exploit the inspection systems designed and implemented by DIOTA: (1) a scenario based on a tablet equipped with a camera, carried by a human operator for real-time interactive control, (2) a scenario based on a robot equipped with sensors (two cameras and a 3D scanner) for fully automatic control. In both scenarios, a so-called localisation camera provides in real-time the pose between the CAD model and the sensors (which allows to directly link the 3D digital model with the 2D images or the 3D point clouds analysed). We first developed 2D inspection methods, based solely on the analysis of 2D images. Then, for certain types of inspection that could not be performed by using 2D images only (typically requiring the measurement of 3D distances), we developed 3D inspection methods based on the analysis of 3D point clouds. For the 3D inspection of electrical cables, we proposed an original method for segmenting a cable within a point cloud. We have also tackled the problem of automatic selection of best view point, which allows the inspection sensor to be placed in an optimal observation position. The developed methods have been validated on many industrial cases. Some of the inspection algorithms developed during this thesis have been integrated into the DIOTA Inspect© software and are used daily by DIOTA's customers to perform inspections on industrial sites
Truong, Michael Vi Nguyen. „2D-3D registration of cardiac images“. Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/2d3d-registration-of-cardiac-images(afef93e6-228c-4bc7-aab0-94f1e1ecf006).html.
Der volle Inhalt der QuelleJones, Jonathan-Lee. „2D and 3D segmentation of medical images“. Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.
Der volle Inhalt der QuelleLiu, Jianxin. „A porosity-based model for coupled thermal-hydraulic-mechanical processes“. University of Western Australia. Centre for Petroleum, Fuels and Energy, 2010. http://theses.library.uwa.edu.au/adt-WU2010.0113.
Der volle Inhalt der QuelleBücher zum Thema "2D Images - 3D Models"
Jones, Alun Gwyn. Recovering 3D shape from 2D images. Manchester: University of Manchester, 1995.
Den vollen Inhalt der Quelle findenBairstow, John E. N. Design modelling: Visualising ideas in 2D and 3D. London: Hodder & Stoughton, 1999.
Den vollen Inhalt der Quelle findenWiedemann, Julius. Digital beauties: 2D & 3D computer generated digital models, virtual idols and characters. Köln: Taschen, 2002.
Den vollen Inhalt der Quelle findenSüveg, Ildikó. Reconstruction of 3D building models from aerial images and maps. Delft: Netherlands Geodetic Commission, 2003.
Den vollen Inhalt der Quelle findenEdexcel, Hrsg. Art and Design.GNVQ Intermediate.Unit 1:2D and 3D Visual Language.Student Preparatory Work (Pre-seen Images). January 2003. London: Edexcel, 2001.
Den vollen Inhalt der Quelle findenSong, Weidong. Yao gan ying xiang ji he jiu zheng yu san wei chong jian =: Geometric correction and 3D reconstruction for remote sensing images. 8. Aufl. Beijing Shi: Ce hui chu ban she, 2011.
Den vollen Inhalt der Quelle findenCappellini, Vito, Hrsg. Electronic Imaging & the Visual Arts. EVA 2013 Florence. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-372-4.
Der volle Inhalt der QuelleCappellini, Vito, Hrsg. Electronic Imaging & the Visual Arts. EVA 2015 Florence. Florence: Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-759-3.
Der volle Inhalt der QuelleCappellini, Vito, Hrsg. Electronic Imaging & the Visual Arts. EVA 2014 Florence. Florence: Firenze University Press, 2014. http://dx.doi.org/10.36253/978-88-6655-573-5.
Der volle Inhalt der QuelleNechaev, Vladimir, Andrey Shuba, Stanislav Gridnev und Vitaliy Topolov. Dimensional effects in phase transitions and physical properties of ferroics. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1898400.
Der volle Inhalt der QuelleBuchteile zum Thema "2D Images - 3D Models"
Sándor, Viktória, Mathias Bank, Kristina Schinegger und Stefan Rutzinger. „Collapsing Complexities: Encoding Multidimensional Architecture Models into Images“. In Computational Design and Robotic Fabrication, 371–81. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_32.
Der volle Inhalt der QuelleXie, Xianghua, Si Yong Yeo, Majid Mirmehdi, Igor Sazonov und Perumal Nithiarasu. „Image Gradient Based Level Set Methods in 2D and 3D“. In Deformation Models, 101–20. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5446-1_4.
Der volle Inhalt der QuelleOhkubo, Ryo, Ryo Kurazume und Katsushi Ikeuchi. „Simultaneous Registration of 2D Images onto 3D Models for Texture Mapping“. In Digitally Archiving Cultural Objects, 237–78. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-75807_13.
Der volle Inhalt der QuelleZhang, Hang, und Ye Huang. „Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution“. In Proceedings of the 2020 DigitalFUTURES, 159–68. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_15.
Der volle Inhalt der QuelleBrumana, R. „How to Measure Quality Models? Digitization into Informative Models Re-use“. In 3D Research Challenges in Cultural Heritage III, 77–102. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35593-6_5.
Der volle Inhalt der QuelleXu, Chenfeng, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer und Masayoshi Tomizuka. „Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models“. In Lecture Notes in Computer Science, 638–56. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19836-6_36.
Der volle Inhalt der QuelleTilborghs, Sofie, Tom Dresselears, Piet Claus, Jan Bogaert und Frederik Maes. „3D Left Ventricular Segmentation from 2D Cardiac MR Images Using Spatial Context“. In Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 90–99. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39074-7_10.
Der volle Inhalt der QuelleVotsis, George, Nicolas Tsapatsoulis, Kostas Karpouzis und Stefanos Kollias. „A Simplified Representation of 3D Human Faces adapted from 2D Images“. In Noblesse Workshop on Non-Linear Model Based Image Analysis, 39–45. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1597-7_7.
Der volle Inhalt der QuelleVani, K. S., Rupesh Sapkota, Sparsh Shrestha und Srujan B. „Creating a 3D Model from 2D Images Using Convolution Neural Network“. In Advances in Intelligent Systems and Computing, 661–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8443-5_56.
Der volle Inhalt der QuelleMing, Geng, Bo Zhou, Xiaohua Luo, Ren Ling und Mingxiang Zhou. „Rail Surface Defect Detection Method Based on Deep Learning Method with 3D Range Image“. In Advances in Frontier Research on Engineering Structures, 45–59. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_5.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "2D Images - 3D Models"
Li, Liang, Hanzi Wang, Tat-Jun Chin, David Suter und Shusheng Zhang. „Retrieving 3D CAD models using 2D images with optimized weights“. In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5646952.
Der volle Inhalt der QuelleAbreu de Souza, Mauren, Andriy Guilherme Krefer, Gustavo Benvenutti Borba, Tania Mezzadri Centeno und Humberto Remigio Gamba. „Combining 3D models with 2D infrared images for medical applications“. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7318876.
Der volle Inhalt der QuelleUmarani, S. M., und P. Archana. „Computational Analysis of Respiratory Tract with 2D and 3D Models“. In 2018 Fourth International Conference on Biosignals, Images and Instrumentation (ICBSII). IEEE, 2018. http://dx.doi.org/10.1109/icbsii.2018.8524688.
Der volle Inhalt der QuelleYueh-Ling Lin und Mao-Jiun J. Wang. „Constructing 3D human model from 2D images“. In EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5645897.
Der volle Inhalt der QuelleZhang, Dingwen, Junwei Han, Yang Yang und Dong Huang. „Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images“. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.382.
Der volle Inhalt der QuelleHodge, Adam C., und Hanif M. Ladak. „3D Prostate Boundary Segmentation From Ultrasound Images Using 2D Active Shape Models“. In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260668.
Der volle Inhalt der QuelleHodge, Adam C., und Hanif M. Ladak. „3D Prostate Boundary Segmentation From Ultrasound Images Using 2D Active Shape Models“. In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4397911.
Der volle Inhalt der QuelleTutar, Ismail B., Sayan D. Pathak und Yongmin Kim. „3D prostate shape modeling from sparsely acquired 2D images using deformable models“. In Medical Imaging 2004, herausgegeben von Robert L. Galloway, Jr. SPIE, 2004. http://dx.doi.org/10.1117/12.536809.
Der volle Inhalt der QuelleRoy, Anirban, Sujeong Kim, Min Yin, Eric Yeh, Takuma Nakabayashi, Matt Campbell, Ian Keough und Yoshito Tsuji. „A learning-based framework for generating 3D building models from 2D images“. In 2022 IEEE Workshop on Design Automation for CPS and IoT (DESTION). IEEE, 2022. http://dx.doi.org/10.1109/destion56136.2022.00014.
Der volle Inhalt der QuelleAlbus, John E. „Applications of an efficient algorithm for locating 3D models in 2D images“. In Aerospace/Defense Sensing and Controls, herausgegeben von Firooz A. Sadjadi. SPIE, 1998. http://dx.doi.org/10.1117/12.323859.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "2D Images - 3D Models"
Basri, Ronen, und Daphna Weinshall. Distance Metric between 3D Models and 2D Images for Recognition and Classification. Fort Belvoir, VA: Defense Technical Information Center, Juli 1992. http://dx.doi.org/10.21236/ada260069.
Der volle Inhalt der QuelleArroyo, Marcos, Riccardo Rorato, Marco Previtali und Matteo Ciantia. 2D Image-based calibration of rolling resistance in 3D discrete element models of sand. University of Dundee, Dezember 2021. http://dx.doi.org/10.20933/100001229.
Der volle Inhalt der QuelleHabib, Ayman, Darcy M. Bullock, Yi-Chun Lin und Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.
Der volle Inhalt der QuelleDE CUBBER, Ine, und Jos VAN ORSHOVEN. Unstandardized terminology complicates the communication about 2D and 3D spatial data models. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0273.
Der volle Inhalt der QuelleToutin, Th, R. Chénier und Y. Carbonneau. 3D Models for High Resolution Images: Examples with Quickbird, IKONOS, and EROS. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219879.
Der volle Inhalt der QuelleBlundell, S., und Philip Devine. Creation, transformation, and orientation adjustment of a building façade model for feature segmentation : transforming 3D building point cloud models into 2D georeferenced feature overlays. Engineer Research and Development Center (U.S.), Januar 2020. http://dx.doi.org/10.21079/11681/35115.
Der volle Inhalt der QuellePaul, D., E. A. de Kemp und M. R. St-Onge. Canada in 3D (C3D) the next generation view of the geology of Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331348.
Der volle Inhalt der QuelleWitzig, Andreas, Camilo Tello, Franziska Schranz, Johannes Bruderer und Matthias Haase. Quantifying energy-saving measures in office buildings by simulation in 2D cross sections. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541623658.
Der volle Inhalt der QuelleMidak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, Khrystyna V. Berladyniuk, Khrystyna V. Buzhdyhan, Liliia V. Baziuk und Aleksandr D. Uchitel. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4411.
Der volle Inhalt der QuelleMojidra, Rushil, und Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, Dezember 2019. http://dx.doi.org/10.55461/rynq3624.
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