Bibliografías temáticas / 2D images

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Literatura académica sobre el tema "2D images"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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Artículos de revistas sobre el tema "2D images"

KOVALEVSKY, VLADIMIR. "CURVATURE IN DIGITAL 2D IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 07 (2001): 1183–200. http://dx.doi.org/10.1142/s0218001401001283.

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The paper presents an analysis of sources of errors when estimating derivatives of numerical or noisy functions. A method of minimizing the errors is suggested. When being applied to the estimation of the curvature of digital curves, the analysis shows that under the conditions typical for digital image processing the curvature can rarely be estimated with a precision higher than 50%. Ways of overcoming the difficulties are discussed and a new method for estimating the curvature is suggested and investigated as to its precision. The method is based on specifying boundaries of regions in gray v

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Kohnen, James B. "Images of Organization. 2d ed." Quality Management Journal 5, no. 2 (1998): 117. http://dx.doi.org/10.1080/10686967.1998.11918859.

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Kaczmarek, K., B. Walczak, S. de Jong, and B. G. M. Vandeginste. "Matching 2D Gel Electrophoresis Images." Journal of Chemical Information and Computer Sciences 43, no. 3 (2003): 978–86. http://dx.doi.org/10.1021/ci0256337.

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Holzleitner, Iris J., Alex L. Jones, Kieran J. O’Shea, et al. "Do 3D Face Images Capture Cues of Strength, Weight, and Height Better than 2D Face Images do?" Adaptive Human Behavior and Physiology 7, no. 3 (2021): 209–19. http://dx.doi.org/10.1007/s40750-021-00170-8.

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Abstract Objectives A large literature exists investigating the extent to which physical characteristics (e.g., strength, weight, and height) can be accurately assessed from face images. While most of these studies have employed two-dimensional (2D) face images as stimuli, some recent studies have used three-dimensional (3D) face images because they may contain cues not visible in 2D face images. As equipment required for 3D face images is considerably more expensive than that required for 2D face images, we here investigated how perceptual ratings of physical characteristics from 2D and 3D fa

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Wang, Yong Sheng. "Fast 3D Human Face Modeling Method Based on Multiple View 2D Images." Applied Mechanics and Materials 273 (January 2013): 796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.273.796.

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This paper presents a novel approach to model 3D human face from multiple view 2D images in a fast mode. Our proposed method mainly includes three steps: 1) Face Recognition from 2D images, 2) Converting 2D images to 3D images, 3) Modeling 3D human face. To extract visual features of both 2D and 3D images, visual features adopted in 3D are described by Point Signature, and visual features utilized in 2D is represented by Gabor filter responses. Afterwards, 3D model is obtained by combining multiple view 2D images through calculating projections vector and translation vector. Experimental resul

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Logadottir, A., S. Korreman, and P. M. Petersen. "COMPARISON OF PROSTATE LOCALIZATION WITH 2D-2D AND 3D IMAGES." Radiotherapy and Oncology 92 (August 2009): S179—S180. http://dx.doi.org/10.1016/s0167-8140(12)73061-x.

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Xu, Yefeng, Ruili Jiao, Qiubai Li, and Minsong Huang. "Classification of Cloud Particle Habits Using Transfer Learning with a Deep Convolutional Neural Network." Atmosphere 16, no. 3 (2025): 294. https://doi.org/10.3390/atmos16030294.

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The habits of cloud particles are a significant factor impacting microphysical processes in clouds. The accurate identification of cloud particle shapes within clouds is a fundamental requirement for calculating various cloud microphysical parameters. In this study, we established a cloud particle image dataset encompassing nine distinct habit categories, totaling 8100 images. These images were captured using three probes with varying resolutions: the Cloud Particle Imager (CPI), the Two-Dimensional Stereo Probe (2D-S), and the High-Volume Precipitation Spectrometer (HVPS). Furthermore, this s

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Yahanda, Alexander T., Timothy J. Goble, Peter T. Sylvester, et al. "Impact of 3-Dimensional Versus 2-Dimensional Image Distortion Correction on Stereotactic Neurosurgical Navigation Image Fusion Reliability for Images Acquired With Intraoperative Magnetic Resonance Imaging." Operative Neurosurgery 19, no. 5 (2020): 599–607. http://dx.doi.org/10.1093/ons/opaa152.

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Abstract BACKGROUND Fusion of preoperative and intraoperative magnetic resonance imaging (iMRI) studies during stereotactic navigation may be very useful for procedures such as tumor resections but can be subject to error because of image distortion. OBJECTIVE To assess the impact of 3-dimensional (3D) vs 2-dimensional (2D) image distortion correction on the accuracy of auto-merge image fusion for stereotactic neurosurgical images acquired with iMRI using a head phantom in different surgical positions. METHODS T1-weighted intraoperative images of the head phantom were obtained using 1.5T iMRI.

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Takeuchi, Hironori, Kenji Matsuura, Tetsushi Ueta, and Tomohito Wada. "Development of a Support System for Recalling 3D Vision from a 2D Plane." Journal of Educational Multimedia and Hypermedia 32, no. 1 (2025): 5–34. https://doi.org/10.70725/014177zoxurj.

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Basketball tactical patterns are typically taught using tools such as 2D tactical boards. Rapid decision-making in a team depends on the ability to connect two-dimensional (2D) third-person positions with three-dimensional (3D) first-person perspectives. This study develops a support system that offers a virtual environment to enhance the efficient recall of 3D vision from a 2D board. The proposed system generates static or dynamic 3D visualizations based on 2D inputs. A total of 30 volunteers participated in this study and were randomly assigned to groups that received either 2D images, stati

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Kovalev, S. V., S. M. Nesterov, and I. A. Skorodumov. "2D radar images of template objects." Journal of Communications Technology and Electronics 56, no. 2 (2011): 183–87. http://dx.doi.org/10.1134/s1064226911020082.

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Tesis sobre el tema "2D images"

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.

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This thesis describes two novel catheter-based 2D-3D cardiac image registration algorithms for overlaying preoperative 3D MR or CT data onto intraoperative fluoroscopy, and fusing electroanatomical data onto clinical images. The work is intended for use in cardiac catheterisation procedures. To fulfil this objective, the algorithms must be accurate, robust and minimally disruptive to the clinical workflow. The first algorithm relies on the catheterisation of vessels of the heart and registers by minimising a vessel-radius-weighted distance between the catheters and corresponding vessel centrel

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Jones, Jonathan-Lee. "2D and 3D segmentation of medical images." Thesis, Swansea University, 2015. https://cronfa.swan.ac.uk/Record/cronfa42504.

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Cardiovascular disease is one of the leading causes of the morbidity and mortality in the western world today. Many different imaging modalities are in place today to diagnose and investigate cardiovascular diseases. Each of these, however, has strengths and weaknesses. There are different forms of noise and artifacts in each image modality that combine to make the field of medical image analysis both important and challenging. The aim of this thesis is develop a reliable method for segmentation of vessel structures in medical imaging, combining the expert knowledge of the user in such a way a

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Guarnera, Giuseppe Claudio. "Shape Modeling and Description from 2D Images." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1365.

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L'abilità di vedere degli umani e degli animali è il risultato di una complessa interazione della luce con gli occhi ed il cervello. Non siamo coscienti di quanto estremamente complessa sia l'analisi delle forme degli oggetti che viene svolta dal nostro cervello, poiché questa viene prevalentemente svolta a livello subconscio, senza la necessità di richiedere l'intervento di più elevato livelli cognitivi. Pertanto, sebbene "vedere e comprendere" sembri semplice e naturale, la realizzazione di un sistema di Computer Vision versatile e robusto è un compito difficile. Nell'era dei computer, il te

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Sdiri, Bilel. "2D/3D Endoscopic image enhancement and analysis for video guided surgery." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCD030.

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Grâce à l’évolution des procédés de diagnostiques médicaux et les développements technologiques, la chirurgie mini-invasive a fait des progrès remarquables au cours des dernières décennies surtout avec l’innovation de nouveaux outils médicaux tels que les systèmes chirurgicaux robotisés et les caméras endoscopiques sans fil. Cependant, ces techniques souffrent de quelques limitations liées essentiellement l’environnement endoscopique telles que la non uniformité de l’éclairage, les réflexions spéculaires des tissus humides, le faible contraste/netteté et le flou dû aux mouvements du chirurgien

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Meng, Ting, and Yating Yu. "Deconvolution algorithms of 2D Transmission Electron Microscopy images." Thesis, KTH, Optimeringslära och systemteori, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-110096.

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The purpose of this thesis is to develop a mathematical approach and associated software implementation for deconvolution of two-dimensional Transmission Electron Microscope (TEM) images. The focus is on TEM images of weakly scattering amorphous biological specimens that mainly produce phase contrast. The deconvolution is to remove the distortions introduced by the TEM detector that are modeled by the Modulation Transfer Function (MTF). The report tests deconvolution of the TEM detector MTF by Wiener _ltering and Tikhonov regularization on a range of simulated TEM images with varying degree of

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Huang, Hui. "Efficient reconstruction of 2D images and 3D surfaces." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2821.

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The goal of this thesis is to gain a deep understanding of inverse problems arising from 2D image and 3D surface reconstruction, and to design effective techniques for solving them. Both computational and theoretical issues are studied and efficient numerical algorithms are proposed. The first part of this thesis is concerned with the recovery of 2D images, e.g., de-noising and de-blurring. We first consider implicit methods that involve solving linear systems at each iteration. An adaptive Huber regularization functional is used to select the most reasonable model and a global convergence r

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Henrichsen, Arne. "3D reconstruction and camera calibration from 2D images." Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/9725.

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Includes bibliographical references.<br>A 3D reconstruction technique from stereo images is presented that needs minimal intervention from the user. The reconstruction problem consists of three steps, each of which is equivalent to the estimation of a specific geometry group. The first step is the estimation of the epipolar geometry that exists between the stereo image pair, a process involving feature matching in both images. The second step estimates the affine geometry, a process of finding a special plane in projective space by means of vanishing points. Camera calibration forms part of th

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Agerskov, Niels, and Gabriel Carrizo. "Application for Deriving 2D Images from 3D CT Image Data for Research Purposes." Thesis, KTH, Skolan för teknik och hälsa (STH), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190881.

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Karolinska University Hospital, Huddinge, Sweden, has long desired to plan hip prostheses with Computed Tomography (CT) scans instead of plain radiographs to save time and patient discomfort. This has not been possible previously as their current software is limited to prosthesis planning on traditional 2D X-ray images. The purpose of this project was therefore to create an application (software) that allows medical professionals to derive a 2D image from CT images that can be used for prosthesis planning. In order to create the application NumPy and The Visualization Toolkit (VTK) Python code

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Srinivasan, Nirmala. "Cross-Correlation Of Biomedical Images Using Two Dimensional Discrete Hermite Functions." University of Akron / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=akron1341866987.

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Bowden, Nathan Charles. "Camera based texture mapping: 3D applications for 2D images." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2407.

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This artist??s area of research is the appropriate use of matte paintings within the context of completely computer generated films. The emphasis of research is the adaptation of analog techniques and paradigms into a digital production workspace. The purpose of this artist??s research is the development of an original method of parenting perspective projections to three-dimensional (3D) cameras, specifically tailored to result in 3D matte paintings. Research includes the demonstration of techniques combining two-dimensional (2D) paintings, 3D props and sets, as well as camera projections onto

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Libros sobre el tema "2D images"

Jones, Alun Gwyn. Recovering 3D shape from 2D images. University of Manchester, 1995.

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Edexcel, ed. Art and Design.GNVQ Intermediate.Unit 1:2D and 3D Visual Language.Student Preparatory Work (Pre-seen Images). January 2003. Edexcel, 2001.

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Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2013 Florence. Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-372-4.

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Important Information Technology topics are presented: multimedia systems, data-bases, protection of data, access to the content. Particular reference is reserved to digital images (2D, 3D) regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The main parts of the Conference Proceedings regard: Strategic Issues, EC Projects and Related Networks & Initiatives, International Forum on “Culture & Technology”, 2D – 3D Technologies & Applications, Virtual Galleries – Museums and Related Initiatives, Access to the Culture Information. Three Works

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Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2015 Florence. Firenze University Press, 2015. http://dx.doi.org/10.36253/978-88-6655-759-3.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace – Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Technologies & Applications; New 2D-3D Technical Developments & Applications; Virtual Galleries – Museums and Related Initiatives; Access to the Cult

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Cappellini, Vito, ed. Electronic Imaging & the Visual Arts. EVA 2014 Florence. Firenze University Press, 2014. http://dx.doi.org/10.36253/978-88-6655-573-5.

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Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; EC Projects and Related Networks & Initiatives; 2D - 3D Technologies and Applications; Virtual Galleries - Museums and Related Initiatives; Access to the Cul

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Flusser, Jan, Tomáš Suk, and Barbara Zitová. 2D and 3D Image Analysis by Moments. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119039402.

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Watson, Kenneth. A 2D FFT filtering program for image processing with examples. U.S. Dept. of the Interior, Geological Survey, 1992.

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Wosnitza, Matthias Werner. High precision 1024-point FFT processor for 2D object detection. Konstanz, 1999.

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Kumar, Sandeep, Shilpa Rani, and K. Ramya Laxmi. Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing. Edited by Rohit Raja. CRC Press, 2020. http://dx.doi.org/10.1201/9780429354526.

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Meckelnborg, Simon. Optimierung eines 2D aktiven Gitters für Aerodynamikexperimente mit Particle Image Velocimetry. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-46479-0.

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Capítulos de libros sobre el tema "2D images"

Arheit, Marcel, Daniel Castaño-Díez, Raphaël Thierry, Bryant R. Gipson, Xiangyan Zeng, and Henning Stahlberg. "Image Processing of 2D Crystal Images." In Methods in Molecular Biology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-62703-176-9_10.

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Kimmel, Ron. "2D and 3D Image Segmentation." In Numerical Geometry of Images. Springer New York, 2004. http://dx.doi.org/10.1007/978-0-387-21637-9_9.

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Nakanishi, Tomoko M. "3D Images." In Novel Plant Imaging and Analysis. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4992-6_6.

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AbstractSpatial (3D) image construction from imaging plate (IP) images and the development of the microautography (MAR) method were presented. A rice grain was sliced every 5 μm, IP images were taken for successive slices, and the series of 2D images acquired by an IP were used to construct 3D images. In the case of 109Cd and 137Cs, the spatial distributions in the grain showed that the concentrations increased at the surface of the grain during the maturing process.

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Kovalevsky, Vladimir. "Edge Detection in 2D Images." In Image Processing with Cellular Topology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5772-6_6.

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Muresan, Lucian. "2D → 2D geometric transformation invariant to arbitrary translations, rotations and scales." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63460-6_104.

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Liu, Chuan, Jiaqi Shen, Yue Ren, and Hao Zheng. "Pipes of AI – Machine Learning Assisted 3D Modeling Design." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_2.

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AbstractStyle transfer is a design technique that is based on Artificial Intelligence and Machine Learning, which is an innovative way to generate new images with the intervention of style images. The output image will carry the characteristic of style image and maintain the content of the input image. However, the design technique is employed in generating 2D images, which has a limited range in practical use. Thus, the goal of the project is to utilize style transfer as a toolset for architectural design and find out the possibility for a 3D modeling design. To implement style transfer into

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Takayama, Natsuki, Shubing Meng, and Takahashi Hiroki. "Choshi Design System from 2D Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15399-0_38.

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Bruijn, Norbert P., and Fiona M. Clements. "Quantitative Analysis of 2D Echocardiography Images." In Transesophageal Echocardiography. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-2025-8_5.

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Yang, Chuan-Kai, and Chia-Ning Kuo. "Automatically Extracting Hairstyles from 2D Images." In Advances in Visual Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41939-3_39.

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Korres, Georgios, and Mohamad Eid. "Touching 2D Images Using Haptogram System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4157-0_12.

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Actas de conferencias sobre el tema "2D images"

Kadam, Anup, and Nikita Singhal. "Reconstruction of 2D Images into 3D Model." In 2025 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE, 2025. https://doi.org/10.1109/esci63694.2025.10987953.

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Geißler, Kai, Daniel Mensing, Temke Kohlbrandt, Jochen G. Hirsch, and Stefan Heldmann. "Predicting anatomical structures from 2D depth images of patients." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2025. https://doi.org/10.1117/12.3046770.

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Aburass, Sanad, and Maha Abu Rumman. "Volumetric Feature Extraction from 2D Images Using Cubixels." In 2024 International Conference on Machine Learning and Applications (ICMLA). IEEE, 2024. https://doi.org/10.1109/icmla61862.2024.00205.

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Chong Chie, Juan Antonio K., Scott C. Persohn, Ethan W. Miner, Charles P. Burton, Paul Salama, and Paul R. Territo. "Total Variation Based 2D Image Registration of Post-Mortem Mouse Brain Images." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635196.

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Brown, Michael S., and W. Brent Seales. "Beyond 2D images." In the fifth ACM conference. ACM Press, 2000. http://dx.doi.org/10.1145/336597.336623.

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Sikander Hayat Khiyal, Malik, Aihab Khan, and Amna Bibi. "Modified Watershed Algorithm for Segmentation of 2D Images." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3349.

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With the repaid advancement of computer technology, the use of computer-based technologies is increasing in different fields of life. Image segmentation is an important problem in different fields of image processing and computer vision. Image segmentation is the process of dividing images according to its characteristic e.g., color and objects present in the images. Different methods are presented for image segmentation. The focus of this study is the watershed segmentation. The tool used in this study is MATLAB. Good result of watershed segmentation entirely relay on the image contrast. Imag

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S, Vaishnavi A., and Sumana M. "Evolution of 3D images from 2D images." In 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021. http://dx.doi.org/10.1109/conecct52877.2021.9622698.

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Rasool, Shahzad, and Alexei Sourin. "Haptic interaction with 2D images." In the 10th International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/2087756.2087758.

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Erturk, Rumeysa Ashhan, and Mustafa Ersel Karnasak. "Anthropometric Measurements with 2D Images." In 2022 7th International Conference on Computer Science and Engineering (UBMK). IEEE, 2022. http://dx.doi.org/10.1109/ubmk55850.2022.9919504.

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Sabharwal, Chaman L. "Recovering 3D image parameters from corresponding two 2D images." In the 1993 ACM/SIGAPP symposium. ACM Press, 1993. http://dx.doi.org/10.1145/162754.162948.

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Informes sobre el tema "2D images"

Basri, Ronen, and Daphna Weinshall. Distance Metric between 3D Models and 2D Images for Recognition and Classification. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada260069.

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Hanson, Allen R. Recognizing 3 D Objects from 2D Images Using Structural Knowledge Base of Genetic Views. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada207875.

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Arroyo, Marcos, Riccardo Rorato, Marco Previtali, and Matteo Ciantia. 2D Image-based calibration of rolling resistance in 3D discrete element models of sand. University of Dundee, 2021. http://dx.doi.org/10.20933/100001229.

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Contact rolling resistance is the most widely used method to incorporate particle shape effects in the discrete element method (DEM). The main reason for this is that such approach allows for using spherical particles hence offering substantial computational benefits compared to non-spherical DEM models. This paper shows how rolling resistance parameters for 3D DEM models can be easily calibrated with 2D sand grain images.

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Riedel, Michael, Jörg Bialas, Elisa Klein, Cord Papenberg, and Janine Berndt. Technical Report for Raw 2D MCS Reflection Data, R/V Sonne Cruise 294, Vancouver (Canada) – Port Hueneme (USA), 13/09/22 – 27/10/23. GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2024. http://dx.doi.org/10.3289/tr_2d-mcs_so294.

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The raw 2D multichannel seismic reflection data in this project were acquired during expedition SO294 offshore Vancouver Island, Canada, using two different sources, i.e., a single GI Gun and a GGun array. The data were recorded with an 184-channel streamer. The objectives of expedition SO294 were twofold: provision of geophysical images to constrain the hazard potential of the Cascadia subduction zone, and to constrain the geophysical properties of the oceanic crust to assess its storage potential for carbon capture and storage (CCS). The data comprise 1660 line kilometers and are provided in

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Decroux, Agnes, Kassem Kalo, and Keith Swinden. PR-393-205100-R01 IRIS X-Ray CT Qualification for Flexible Pipe Inspection (Phase 1). Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012068.

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There are several techniques available to inspect single wall carbon steel pipelines including; Magnetic flux leakage (MFL), ultrasonic testing (UT), Electro-Magnetic Acoustic Transducer (EMAT), Phased Array, guide wave testing (GWT), etc. However, for more complex structures such as flexible pipelines the technology available to inspect them is far more limited. PRCI commissioned a program (SPIM 2-1) under the Subsea TC (2017-2020) to evaluate all known and suspected technologies that could be used to provide a detailed subsea inspection of a flexible riser. PRCI produced four samples of flex

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Midak, Liliia Ya, Ivan V. Kravets, Olga V. Kuzyshyn, et al. Augmented reality in process of studying astronomic concepts in primary school. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4411.

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The objective of the research is development a mobile application (on the Android platform) designed for visualization of the Solar System with the AR technology and the alphabet study, applying the astronomic definitions, which can be used by the teacher and the students for an effective training for studying the subjects of the astronomic cycle in primary school. Augmented Reality cards with the images of the Solar System planets and other celestial bodies were developed, as well as the “Space alphabet” was created. In the developed alphabet every letter of the alphabet becomes a certain cel

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Creighton, Dan. X-ray diffraction, x-ray fluorescence, pyrolysis, source rock analysis, 2D SEM images from cuttings for wells: Malguk 1, Merak 1, Pipeline State 1, West Kavik 1, and Wolfbutton 25-6-9. Alaska Division of Geological & Geophysical Surveys, 2020. http://dx.doi.org/10.14509/30533.

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WEHLBURG, JOSEPH C., CHRISTINE M. WEHLBURG, JODY L. SMITH, OLGA B. SPAHN, MARK W. SMITH, and CRAIG M. BONEY. High Speed 2D Hadamard Transform Spectral Imager. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/808596.

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob

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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, and Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.

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Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effective preventative maintenance requires mapping of the ditch profile to identify areas requiring excavation of long-term sediment accumulation. High-resolution, high-quality point clouds collected by mobile LiDAR mapping systems (MLMS) provide an opportunity for effective monitoring of roadside ditches and performing hydrological analyses. This study evaluated the applicability of mobile LiDAR for mapping roadside ditches for slope and drainage analyses. The performance o

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