Relevant bibliographies by topics / Reprojekce

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Reprojekce'

Author: Grafiati
Published: 28 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Reprojekce"

1

Gardziński, Paweł. "POPRAWA JAKOŚCI MODELU WOKSELOWEGO NA PODSTAWIE HISTOGRAMÓW OBRAZÓW REPROJEKCJI." PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE 1, no. 8-9 (September 5, 2015): 630–34. http://dx.doi.org/10.15199/59.2015.8-9.88.

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Nichols, Kenneth J., and Denny D. Watson. "The motivation to reproject gated blood pool SPECT data as planar data." Journal of Nuclear Cardiology 20, no. 3 (March 5, 2013): 329–30. http://dx.doi.org/10.1007/s12350-013-9698-y.

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Casagrande, Angelo, Pénélope Leyland, and Luca Formaggia. "Parallel Mesh Adaptive Techniques for Complex Flow Simulation: Geometry Conservation." Modelling and Simulation in Engineering 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/495935.

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Dynamic mesh adaptation on unstructured grids, by localised refinement and derefinement, is a very efficient tool for enhancing solution accuracy and optimising computational time. One of the major drawbacks, however, resides in the projection of the new nodes created, during the refinement process, onto the boundary surfaces. This can be addressed by the introduction of a library capable of handling geometric properties given by a CAD (computer-aided design) description. This is of particular interest also to enhance the adaptation module when the mesh is being smoothed, and hence moved, to then reproject it onto the surface of the exact geometry.
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Hruby, F., S. Melamed, R. Ressl, and D. Stanley. "MOSAICKING MEXICO - THE BIG PICTURE OF BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 407–12. http://dx.doi.org/10.5194/isprsarchives-xli-b2-407-2016.

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The project presented in this article is to create a completely seamless and cloud-free mosaic of Mexico at a resolution of 5m, using approximately 4,500 RapidEye images. To complete this project in a timely manner and with limited operators, a number of processing architectures were required to handle a data volume of 12 terabytes. This paper will discuss the different operations realized to complete this project, which include, preprocessing, mosaic generation and post mosaic editing. Prior to mosaic generation, it was necessary to filter the 50,000 RapidEye images captured over Mexico between 2011 and 2014 to identify the top candidate images, based on season and cloud cover. Upon selecting the top candidate images, PCI Geomatics’ GXL system was used to reproject, color balance and generate seamlines for the output 1TB+ mosaic. This paper will also discuss innovative techniques used by the GXL for color balancing large volumes of imagery with substantial radiometric differences. Furthermore, post-mosaicking steps, such as, exposure correction, cloud and cloud shadow elimination will be presented.
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Hruby, F., S. Melamed, R. Ressl, and D. Stanley. "MOSAICKING MEXICO - THE BIG PICTURE OF BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 407–12. http://dx.doi.org/10.5194/isprs-archives-xli-b2-407-2016.

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The project presented in this article is to create a completely seamless and cloud-free mosaic of Mexico at a resolution of 5m, using approximately 4,500 RapidEye images. To complete this project in a timely manner and with limited operators, a number of processing architectures were required to handle a data volume of 12 terabytes. This paper will discuss the different operations realized to complete this project, which include, preprocessing, mosaic generation and post mosaic editing. Prior to mosaic generation, it was necessary to filter the 50,000 RapidEye images captured over Mexico between 2011 and 2014 to identify the top candidate images, based on season and cloud cover. Upon selecting the top candidate images, PCI Geomatics’ GXL system was used to reproject, color balance and generate seamlines for the output 1TB+ mosaic. This paper will also discuss innovative techniques used by the GXL for color balancing large volumes of imagery with substantial radiometric differences. Furthermore, post-mosaicking steps, such as, exposure correction, cloud and cloud shadow elimination will be presented.
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Chen, Kai, Jian Yao, Menghan Xia, Xinyuan Gui, Xiaohu Lu, and Li Li. "A UNIFIED BLENDING FRAMEWORK FOR PANORAMA COMPLETION VIA GRAPH CUTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 487–94. http://dx.doi.org/10.5194/isprsarchives-xli-b3-487-2016.

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In this paper, we propose a unified framework for efficiently completing streetview and indoor 360° panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To greatly reduce the severe distortion at the bottom of the panorama, we first reproject it onto the ground perspective plane containing the whole occluded region to be completed. Then, we formulate the image completion problem in an improved graph cuts optimization framework based on the statistics of similar patches by strengthening the boundary constraints. To further eliminate image luminance differences and color deviations and conceal geometrical parallax among the optimally selected patches for completion, we creatively apply a multi-bland image blending algorithm for perfect image mosaicking from the completed patches and the originally reprojected image. Finally, we back-project the completed and blended ground perspective image into the cylindrical-projection panorama followed by a simple feathering to further reduce artifacts in the panorama. Experimental results on some representative non-panoramic images and streetview and indoor panoramas demonstrate the efficiency and robustness of the proposed method even in some challenging cases.
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Chen, Kai, Jian Yao, Menghan Xia, Xinyuan Gui, Xiaohu Lu, and Li Li. "A UNIFIED BLENDING FRAMEWORK FOR PANORAMA COMPLETION VIA GRAPH CUTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 487–94. http://dx.doi.org/10.5194/isprs-archives-xli-b3-487-2016.

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In this paper, we propose a unified framework for efficiently completing streetview and indoor 360° panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To greatly reduce the severe distortion at the bottom of the panorama, we first reproject it onto the ground perspective plane containing the whole occluded region to be completed. Then, we formulate the image completion problem in an improved graph cuts optimization framework based on the statistics of similar patches by strengthening the boundary constraints. To further eliminate image luminance differences and color deviations and conceal geometrical parallax among the optimally selected patches for completion, we creatively apply a multi-bland image blending algorithm for perfect image mosaicking from the completed patches and the originally reprojected image. Finally, we back-project the completed and blended ground perspective image into the cylindrical-projection panorama followed by a simple feathering to further reduce artifacts in the panorama. Experimental results on some representative non-panoramic images and streetview and indoor panoramas demonstrate the efficiency and robustness of the proposed method even in some challenging cases.
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Wang, Weile, Shuang Li, Hirofumi Hashimoto, Hideaki Takenaka, Atsushi Higuchi, Satya Kalluri, and Ramakrishna Nemani. "An Introduction to the Geostationary-NASA Earth Exchange (GeoNEX) Products: 1. Top-of-Atmosphere Reflectance and Brightness Temperature." Remote Sensing 12, no. 8 (April 17, 2020): 1267. http://dx.doi.org/10.3390/rs12081267.

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GeoNEX is a collaborative project led by scientists from NASA, NOAA, and many other institutes around the world to generate Earth monitoring products using data streams from the latest Geostationary (GEO) sensors including the GOES-16/17 Advanced Baseline Imager (ABI), the Himawari-8/9 Advanced Himawari Imager (AHI), and more. An accurate and consistent product of the Top-Of-Atmosphere (TOA) reflectance and brightness temperature is the starting point in the scientific processing pipeline and has significant influences on the downstream products. This paper describes the main steps and the algorithms in generating the GeoNEX TOA products, starting from the conversion of digital numbers to physical quantities with the latest radiometric calibration information. We implement algorithms to detect and remove residual georegistration uncertainties automatically in both GOES and Himawari L1bdata, adjust the data for topographic relief, estimate the pixelwise data-acquisition time, and accurately calculate the solar illumination angles for each pixel in the domain at every time step. Finally, we reproject the TOA products to a globally tiled common grid in geographic coordinates in order to facilitate intercomparisons and/or synergies between the GeoNEX products and existing Earth observation datasets from polar-orbiting satellites.
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Philip, Julien, Sébastien Morgenthaler, Michaël Gharbi, and George Drettakis. "Free-viewpoint Indoor Neural Relighting from Multi-view Stereo." ACM Transactions on Graphics 40, no. 5 (October 31, 2021): 1–18. http://dx.doi.org/10.1145/3469842.

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We introduce a neural relighting algorithm for captured indoors scenes, that allows interactive free-viewpoint navigation. Our method allows illumination to be changed synthetically, while coherently rendering cast shadows and complex glossy materials. We start with multiple images of the scene and a three-dimensional mesh obtained by multi-view stereo (MVS) reconstruction. We assume that lighting is well explained as the sum of a view-independent diffuse component and a view-dependent glossy term concentrated around the mirror reflection direction. We design a convolutional network around input feature maps that facilitate learning of an implicit representation of scene materials and illumination, enabling both relighting and free-viewpoint navigation. We generate these input maps by exploiting the best elements of both image-based and physically based rendering. We sample the input views to estimate diffuse scene irradiance, and compute the new illumination caused by user-specified light sources using path tracing. To facilitate the network's understanding of materials and synthesize plausible glossy reflections, we reproject the views and compute mirror images . We train the network on a synthetic dataset where each scene is also reconstructed with MVS. We show results of our algorithm relighting real indoor scenes and performing free-viewpoint navigation with complex and realistic glossy reflections, which so far remained out of reach for view-synthesis techniques.
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10

Cho, Yongchae, and Richard L. Gibson, Jr. "Reverse time migration via frequency-adaptive multiscale spatial grids." GEOPHYSICS 84, no. 2 (March 1, 2019): S41—S55. http://dx.doi.org/10.1190/geo2018-0292.1.

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Reverse time migration (RTM) is widely used because of its ability to recover complex geologic structures. However, RTM also has a drawback in that it requires significant computational cost. In RTM, wave modeling accounts for the largest part of the computing cost for calculating forward- and backward-propagated wavefields before applying an imaging condition. For this reason, we have applied a frequency-adaptive multiscale spatial grid to enhance the efficiency of the wave simulations. To implement wave modeling for different values of the spatial grid interval, we apply a model reduction technique, the generalized multiscale finite-element method (GMsFEM), which solves local spectral problems on a fine grid to simulate wave propagation on a coarser grid. We can enhance the speed of computation without sacrificing accuracy by using coarser grids for lower frequency waves, while applying a finer grid for higher frequency waves. In the proposed method, we can control the size of the coarse grid and level of heterogeneity of the wave solutions to tune the trade-off between speedup and accuracy. As we increase the expected level of complexity of the wave solutions, the GMsFEM wave modeling can capture more detailed features of waves. After computing the forward and backward wavefield on the coarse grid, we reproject the coarse wave solutions to the fine grid to construct the RTM gradient image. Although wave solutions are computed on a coarse grid, we still obtain the RTM images without reducing the image resolution by projecting coarse wave solutions to the fine grid. We determine the efficiency of the proposed imaging method using the Marmousi-2 model. We compare the RTM images using GMsFEM with a fixed coarse mesh and a multiple frequency-adaptive coarse meshes to indicate the image quality and computational speed of the new approach.
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Dissertations / Theses on the topic "Reprojekce"

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Menšík, Jakub. "Zobrazování voxelových scén pomocí ray tracingu v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445579.

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The aim of this work was to create a program to visualize voxel scenes in real time using ray tracing. It included the study of various methods of such a rendering with a focus on shadows. The solution was created using Unity engine and experimental packages Unity Jobs and Burst. The thesis presents multiple ray tracing passes and SVGF technique, that is used to turn a noisy input into full edge-preserving image. The final program is able to render hard shadows, soft shadows, and ambient occlusion at speed of fifty frames per second.
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Conference papers on the topic "Reprojekce"

1

Riccardo, F. "Reproject - social housing stock in Rome, a renovation design process." In 2nd IET International Conference on Intelligent Environments (IE 06). IEE, 2006. http://dx.doi.org/10.1049/cp:20060710.

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Langer, Sabina. "PARTICIPATION TO EMPOWER CHILDREN AND STRENGTHEN THE COMMUNITY." In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end069.

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In a pandemic, children’s participation is even more important than before. This paper presents the first stage of an exploratory study for my PhD research in Pedagogy beginning in January 2021 in Milan. The participants are 19 pupils of class 4B (primary school), their parents and the teachers who joined energies to reproject a square, in order to transform it into a welcoming space for the entire community. In Italy, public speeches did not mention children who could not finally use public spaces for months as they were identified as the “plague spreaders”. The project revisits this perspective by considering children as potential actors of the transformation. Only if adults set the conditions for a change, children, their needs and their imagination could become agents for that change and centre of the community. The project name is Piazziamoci (Let’s place ourselves here) to signify the conscious act of taking a place together. After a theoretical framework of the study within Student Voice, I describe the generative circumstances, the context and the first steps of the project. The children explored the square, interviewed the inhabitants, shared information and dreams with their classmates coming up with proposals to present to City Council. This first phase aimed to set the basis of my investigation on the participants self-awareness as people and members of the community; it also focuses on the perception of the square as a common good. To this purpose, this work introduces concepts as the capacity to aspire (Appadurai, 2004), imagination and creativity (Vygotsky, 1930/2004), interdependence (Butler, 2020), and, therefore, a political and educational interpretation of the project.
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