Relevant bibliographies by topics / Gigapixel

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Gigapixel'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Gigapixel"

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Brady, D. J., M. E. Gehm, R. A. Stack, et al. "Multiscale gigapixel photography." Nature 486, no. 7403 (2012): 386–89. http://dx.doi.org/10.1038/nature11150.

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Orth, Antony, Monica Jo Tomaszewski, Richik N. Ghosh, and Ethan Schonbrun. "Gigapixel multispectral microscopy." Optica 2, no. 7 (2015): 654. http://dx.doi.org/10.1364/optica.2.000654.

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He, Mingming, Jing Liao, Pedro V. Sander, and Hugues Hoppe. "Gigapixel Panorama Video Loops." ACM Transactions on Graphics 37, no. 1 (2018): 1–15. http://dx.doi.org/10.1145/3144455.

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Papadopoulos, Charilaos, and Arie E. Kaufman. "Acuity-Driven Gigapixel Visualization." IEEE Transactions on Visualization and Computer Graphics 19, no. 12 (2013): 2886–95. http://dx.doi.org/10.1109/tvcg.2013.127.

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Ao, Mengxing, and Ying-Qing Xu. "Epistemic Ecology: An Artwork of Gigapixel Imagery and Ideas." Leonardo 52, no. 2 (2019): 175–76. http://dx.doi.org/10.1162/leon_a_01686.

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Gigapixel imaging provides a new perspective from which to explore the world from micro to macro. In this work, we created an aesthetically oriented gigapixel image named Epistemic Ecology. It combines ocean creatures with handicrafts and visualized abstract theories, showing a different way to see our world at the visceral level, the behavioral level and the reflective level. It provides a different perspective to extend possibilities of interacting, understanding and using big data.
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Cabezos-Bernal, Pedro M., Pablo Rodriguez-Navarro, and Teresa Gil-Piqueras. "Documenting Paintings with Gigapixel Photography." Journal of Imaging 7, no. 8 (2021): 156. http://dx.doi.org/10.3390/jimaging7080156.

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Digital photographic capture of pictorial artworks with gigapixel resolution (around 1000 megapixels or greater) is a novel technique that is beginning to be used by some important international museums as a means of documentation, analysis, and dissemination of their masterpieces. This line of research is extremely interesting, not only for art curators and scholars but also for the general public. The results can be disseminated through online virtual museum displays, offering a detailed interactive visualization. These virtual visualizations allow the viewer to delve into the artwork in suc
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Philip, Sujin, Brian Summa, Julien Tierny, Peer-Timo Bremer, and Valerio Pascucci. "Distributed Seams for Gigapixel Panoramas." IEEE Transactions on Visualization and Computer Graphics 21, no. 3 (2015): 350–62. http://dx.doi.org/10.1109/tvcg.2014.2366128.

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Kopf, Johannes, Matt Uyttendaele, Oliver Deussen, and Michael F. Cohen. "Capturing and viewing gigapixel images." ACM Transactions on Graphics 26, no. 3 (2007): 93. http://dx.doi.org/10.1145/1276377.1276494.

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Marks, Daniel L., Lauren M. Bange, and David J. Brady. "Feedback stitching for gigapixel video." Journal of Electronic Imaging 24, no. 6 (2015): 063006. http://dx.doi.org/10.1117/1.jei.24.6.063006.

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Takeichi, Y., Y. Ito, Y. Niwa, M. Kimura, and K. Ono. "Development of gigapixel imaging XAFS." Acta Crystallographica Section A Foundations and Advances 79, a2 (2023): C1366. http://dx.doi.org/10.1107/s2053273323082554.

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Dissertations / Theses on the topic "Gigapixel"

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Konda, Pavan Chandra. "Multi-Aperture Fourier Ptychographic Microscopy : development of a high-speed gigapixel coherent computational microscope." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/9015/.

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Medical research and clinical diagnostics require imaging of large sample areas with sub-cellular resolution. Conventional imaging techniques can provide either high-resolution or wide field-of-view (FoV) but not both. This compromise is conventionally defeated by using a high NA objective with a small FoV and then mechanically scan the sample in order to acquire separate images of its different regions. By stitching these images together, a larger effective FoV is then obtained. This procedure, however, requires precise and expensive scanning stages and prolongs the acquisition time, thus ren
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Son, Hui. "Optomechanical System Development of the AWARE Gigapixel Scale Camera." Diss., 2013. http://hdl.handle.net/10161/8205.

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<p>Electronic focal plane arrays (FPA) such as CMOS and CCD sensors have dramatically improved to the point that digital cameras have essentially phased out film (except in very niche applications such as hobby photography and cinema). However, the traditional method of mating a single lens assembly to a single detector plane, as required for film cameras, is still the dominant design used in cameras today. The use of electronic sensors and their ability to capture digital signals that can be processed and manipulated post acquisition offers much more freedom of design at system levels and o
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Zheng, Guoan. "Innovations in Imaging System Design: Gigapixel, Chip-Scale and MultiFunctional Microscopy." Thesis, 2013. https://thesis.library.caltech.edu/7234/4/Zheng_Guoan_Final_Thesis_12_17_2012.pdf.

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<p>Microscopy imaging is of fundamental importance in diverse disciplines of science and technology. In a typical microscopy imaging platform, the light path can be generalized to the following steps: photons leave the light source, interact with the sample, and finally are detected by the image sensor. Based on such a light path, this thesis presents several new microscopy imaging techniques from three aspects: illumination design, sample manipulation, and imager modification.</p> <p>The first design strategy involves the active control of the illumination sources. Based on this strategy,
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Kittle, David S. "Computational Optical Imaging Systems for Spectroscopy and Wide Field-of-View Gigapixel Photography." Diss., 2013. http://hdl.handle.net/10161/7145.

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<p>This dissertation explores computational optical imaging methods to circumvent the physical limitations of classical sensing. An ideal imaging system would maximize resolution in time, spectral bandwidth, three-dimensional object space, and polarization. Practically, increasing any one parameter will correspondingly decrease the others.</p><p>Spectrometers strive to measure the power spectral density of the object scene. Traditional pushbroom spectral imagers acquire high resolution spectral and spatial resolution at the expense of acquisition time. Multiplexed spectral imagers acquire
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CHEN, YEN-CHEN, and 陳彥禎. "Computing t-Test in Large-Scale Genome-Wide Association Studies and Classifying Gigapixel Pathology Image with GPUs." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/dsz6cu.

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碩士<br>國立臺灣大學<br>應用數學科學研究所<br>106<br>This thesis is a combination of two pieces of research; both make use of the Graphics Processing Unit (GPU) for calculation and both deals with large medical data. Part I. We develop a fast algorithm as long as a CUDA code for GWAS (Genome-Wide Associate Studies) to find the relation between genomes and targeted traits. This algorithm can work efficiently on GPU and has high scalability. The core of the algorithm is an accurate and fast p-value calculating method, which accelerates the most time-consuming part of GWAS problems. With the algorithm, researcher
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Sicat, Ronell Barrera. "Large-Scale Multi-Resolution Representations for Accurate Interactive Image and Volume Operations." Diss., 2015. http://hdl.handle.net/10754/582749.

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The resolutions of acquired image and volume data are ever increasing. However, the resolutions of commodity display devices remain limited. This leads to an increasing gap between data and display resolutions. To bridge this gap, the standard approach is to employ output-sensitive operations on multi-resolution data representations. Output-sensitive operations facilitate interactive applications since their required computations are proportional only to the size of the data that is visible, i.e., the output, and not the full size of the input. Multi-resolution representations, such as image m
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Horstmeyer, Roarke William. "Computational Microscopy: Turning Megapixels into Gigapixels." Thesis, 2016. https://thesis.library.caltech.edu/9231/1/thesis_final_10-20-15.pdf.

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The layout of a typical optical microscope has remained effectively unchanged over the past century. Besides the widespread adoption of digital focal plane arrays, relatively few innovations have helped improve standard imaging with bright-field microscopes. This thesis presents a new microscope imaging method, termed Fourier ptychography, which uses an LED to provide variable sample illumination and post-processing algorithms to recover useful sample information. Examples include increasing the resolution of megapixel-scale images to one gigapixel, measuring quantitative phase, achieving oil-
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Book chapters on the topic "Gigapixel"

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Fang, Lu. "GigaVision: When Computer Vision Meets Gigapixel Videography." In Advances in Computer Vision and Pattern Recognition. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6915-5_6.

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AbstractIn previous chapters, we have explored advanced plenoptic imaging and reconstruction techniques, enabling images and videos to reach gigapixel-level resolution. This breakthrough unlocks new possibilities for a wide range of applications and industries. However, traditional computer vision methods, tailored for megapixel-level data, are ill-equipped to handle the complexities of gigapixel-level data, which often feature large-scale scenes with hundreds of objects and intricate interactions. As a result, these methods face significant limitations in both precision and efficiency.
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Popovic, Vladan, Kerem Seyid, Ömer Cogal, Abdulkadir Akin, and Yusuf Leblebici. "Towards Real-Time Gigapixel Video." In Design and Implementation of Real-Time Multi-Sensor Vision Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59057-8_7.

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Fang, Lu. "High-Resolution Plenoptic Sensing." In Advances in Computer Vision and Pattern Recognition. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6915-5_3.

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AbstractThe high-resolution plenoptic sensing system can capture light field with a high level of detail and clarity. Resolution refers to the amount of detail that can be discerned in the reconstructed image or light field. The cutting edge of high-resolution plenoptic sensing is gigapixel plenoptic sensing, specifically refers to a system capable of capturing images with billions of pixels, resulting in extremely high-resolution light field.
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Płatek, Marcin, Wiktoria Sapota, Sebastian Stach, and Zygmunt Wróbel. "Reconstruction of Gigapixel Stereometric Maps of Ceramic Surfaces." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91211-0_9.

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Zhang, Jiazhi, Jie He, Haiwen Li, et al. "Computational Calibration and Correction for Gigapixel Imaging System." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91659-0_23.

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Han, Yulin, Long Ye, Wei Zhong, and Li Fang. "A Gigapixel Image Browsing Scheme in Edge Computing Environment." In Digital TV and Multimedia Communication. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8138-6_27.

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Zhang, Jingwei, Xin Zhang, Ke Ma, et al. "Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16434-7_19.

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Rentsendorj, Javkhlan, Ganchimeg Lkhagvasuren, Batdorj Oyun-Erdene, Baatarbileg Altangerel, and Oyun-Erdene Namsrai. "Evaluation of Panoramic Image Projection for “Ulaanbaatar GigaPixel Panaroma”." In Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6757-9_28.

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Hollemeersch, Charles-Frederik, Bart Pieters, Aljosha Demeulemeester, Peter Lambert, and Rik Van de Walle. "Real-Time Visualizations of Gigapixel Texture Data Sets Using HTML5." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27355-1_57.

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Du, Zhenlong, Xiaoli Li, Xiaojian Yang, and Kangkang Shen. "A Parallel Multigrid Poisson PDE Solver for Gigapixel Image Editing." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41591-3_8.

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Conference papers on the topic "Gigapixel"

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Zhao, Yunqi, Yuchen Guo, Zheng Cao, Kai Ni, Ruqi Huang, and Lu Fang. "DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10688080.

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Boorboor, Saeed, Doris Gutiérrez-Rosales, Ahamed Shoaib, et al. "Silo: Half-Gigapixel Cylindrical Stereoscopic Immersive Display." In 2025 IEEE Conference Virtual Reality and 3D User Interfaces (VR). IEEE, 2025. https://doi.org/10.1109/vr59515.2025.00072.

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Kapse, Saarthak, Pushpak Pati, Srijan Das, et al. "SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01067.

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Zhao, Yuefeng, and Liyang Fang. "Research on Constructing Image Stitching Models of Gigapixel Computational Imaging Systems." In 2025 5th International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2025. https://doi.org/10.1109/iccece65250.2025.10984848.

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Tao, M., Bing Bai, Haozhe Lin, et al. "When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.02088.

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Lin, Haozhe, Chunyu Wei, Li He, et al. "GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01829.

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Brady, David J., and Sehoon Lim. "Gigapixel holography." In 2011 ICO International Conference on Information Photonics (IP). IEEE, 2011. http://dx.doi.org/10.1109/ico-ip.2011.5953763.

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McCain, Scott, Steve Feller, and David Brady. "Gigapixel Television." In Computational Optical Sensing and Imaging. OSA, 2016. http://dx.doi.org/10.1364/cosi.2016.cth3b.5.

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Luan, Qing, Steven M. Drucker, Johannes Kopf, Ying-Qing Xu, and Michael F. Cohen. "Annotating gigapixel images." In the 21st annual ACM symposium. ACM Press, 2008. http://dx.doi.org/10.1145/1449715.1449722.

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Cossairt, Oliver S., Daniel Miau, and Shree K. Nayar. "Gigapixel Computational Imaging." In 2011 IEEE International Conference on Computational Photography (ICCP). IEEE, 2011. http://dx.doi.org/10.1109/iccphot.2011.5753115.

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Reports on the topic "Gigapixel"

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Wang, Zhehui, and Abul Azad. Meta-surface-enhanced gigapixel radiation detectors. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1957901.

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Marrs, R., and C. Bennett. Final Report for LDRD Project 02-FS-009 Gigapixel Surveillance Camera. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/992288.

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