Academic literature on the topic 'Visual image reconstruction'
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Journal articles on the topic "Visual image reconstruction"
Nestor, Adrian, David C. Plaut, and Marlene Behrmann. "Feature-based face representations and image reconstruction from behavioral and neural data." Proceedings of the National Academy of Sciences 113, no. 2 (December 28, 2015): 416–21. http://dx.doi.org/10.1073/pnas.1514551112.
Full textBae, Joungeun, and Hoon Yoo. "Image Enhancement for Computational Integral Imaging Reconstruction via Four-Dimensional Image Structure." Sensors 20, no. 17 (August 25, 2020): 4795. http://dx.doi.org/10.3390/s20174795.
Full textWang, Xia, and Qianqian Hu. "Visual Truth and Image Manipulation: Visual Ethical Anomie and Reconstruction of Digital Photography." SHS Web of Conferences 155 (2023): 03018. http://dx.doi.org/10.1051/shsconf/202315503018.
Full textMeng, Lu, and Chuanhao Yang. "Dual-Guided Brain Diffusion Model: Natural Image Reconstruction from Human Visual Stimulus fMRI." Bioengineering 10, no. 10 (September 24, 2023): 1117. http://dx.doi.org/10.3390/bioengineering10101117.
Full textKumar, L. Ravi, K. G. S. Venkatesan, and S.Ravichandran. "Cloud-enabled Internet of Things Medical Image Processing Compressed Sensing Reconstruction." International Journal of Scientific Methods in Intelligence Engineering Networks 01, no. 04 (2023): 11–21. http://dx.doi.org/10.58599/ijsmien.2023.1402.
Full textYang, Qi, and Jong Hoon Yang. "Virtual Reconstruction of Visually Conveyed Images under Multimedia Intelligent Sensor Network Node Layout." Journal of Sensors 2022 (February 2, 2022): 1–12. http://dx.doi.org/10.1155/2022/8367387.
Full textYin, Jing, and Jong Hoon Yang. "Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect." Complexity 2021 (June 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/5616826.
Full textNjølstad, Tormund, Anselm Schulz, Johannes C. Godt, Helga M. Brøgger, Cathrine K. Johansen, Hilde K. Andersen, and Anne Catrine T. Martinsen. "Improved image quality in abdominal computed tomography reconstructed with a novel Deep Learning Image Reconstruction technique – initial clinical experience." Acta Radiologica Open 10, no. 4 (April 2021): 205846012110083. http://dx.doi.org/10.1177/20584601211008391.
Full textXu, Li, Ling Bai, and Lei Li. "The Effect of 3D Image Virtual Reconstruction Based on Visual Communication." Wireless Communications and Mobile Computing 2022 (January 5, 2022): 1–8. http://dx.doi.org/10.1155/2022/6404493.
Full textLi, Yuting. "Design of 3D Image Visual Communication System for Automatic Reconstruction of Digital Images." Advances in Multimedia 2022 (July 30, 2022): 1–10. http://dx.doi.org/10.1155/2022/3369386.
Full textDissertations / Theses on the topic "Visual image reconstruction"
Duraisamy, Prakash. "3D Reconstruction Using Lidar and Visual Images." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc177193/.
Full textHe, Peng. "Image-based reconstruction and visual hull from imprecise input." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/10005.
Full textGrauman, Kristen Lorraine 1979. "A statistical image-based shape model for visual hull reconstruction and 3D structure inference." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87347.
Full textIncludes bibliographical references (p. 69-72).
by Kristen Lorraine Grauman.
S.M.
Ozcelik, Furkan. "Déchiffrer le langage visuel du cerveau : reconstruction d'images naturelles à l'aide de modèles génératifs profonds à partir de signaux IRMf." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES073.
Full textThe great minds of humanity were always curious about the nature of mind, brain, and consciousness. Through physical and thought experiments, they tried to tackle challenging questions about visual perception. As neuroimaging techniques were developed, neural encoding and decoding techniques provided profound understanding about how we process visual information. Advancements in Artificial Intelligence and Deep Learning areas have also influenced neuroscientific research. With the emergence of deep generative models like Variational Autoencoders (VAE), Generative Adversarial Networks (GAN) and Latent Diffusion Models (LDM), researchers also used these models in neural decoding tasks such as visual reconstruction of perceived stimuli from neuroimaging data. The current thesis provides two frameworks in the above-mentioned area of reconstructing perceived stimuli from neuroimaging data, particularly fMRI data, using deep generative models. These frameworks focus on different aspects of the visual reconstruction task than their predecessors, and hence they may bring valuable outcomes for the studies that will follow. The first study of the thesis (described in Chapter 2) utilizes a particular generative model called IC-GAN to capture both semantic and realistic aspects of the visual reconstruction. The second study (mentioned in Chapter 3) brings new perspective on visual reconstruction by fusing decoded information from different modalities (e.g. text and image) using recent latent diffusion models. These studies become state-of-the-art in their benchmarks by exhibiting high-fidelity reconstructions of different attributes of the stimuli. In both of our studies, we propose region-of-interest (ROI) analyses to understand the functional properties of specific visual regions using our neural decoding models. Statistical relations between ROIs and decoded latent features show that while early visual areas carry more information about low-level features (which focus on layout and orientation of objects), higher visual areas are more informative about high-level semantic features. We also observed that generated ROI-optimal images, using these visual reconstruction frameworks, are able to capture functional selectivity properties of the ROIs that have been examined in many prior studies in neuroscientific research. Our thesis attempts to bring valuable insights for future studies in neural decoding, visual reconstruction, and neuroscientific exploration using deep learning models by providing the results of two visual reconstruction frameworks and ROI analyses. The findings and contributions of the thesis may help researchers working in cognitive neuroscience and have implications for brain-computer-interface applications
Anliot, Manne. "Volume Estimation of Airbags: A Visual Hull Approach." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-421.
Full textThis thesis presents a complete and fully automatic method for estimating the volume of an airbag, through all stages of its inflation, with multiple synchronized high-speed cameras.
Using recorded contours of the inflating airbag, its visual hull is reconstructed with a novel method: The intersections of all back-projected contours are first identified with an accelerated epipolar algorithm. These intersections, together with additional points sampled from concave surface regions of the visual hull, are then Delaunay triangulated to a connected set of tetrahedra. Finally, the visual hull is extracted by carving away the tetrahedra that are classified as inconsistent with the contours, according to a voting procedure.
The volume of an airbag's visual hull is always larger than the airbag's real volume. By projecting a known synthetic model of the airbag into the cameras, this volume offset is computed, and an accurate estimate of the real airbag volume is extracted.
Even though volume estimates can be computed for all camera setups, the cameras should be specially posed to achieve optimal results. Such poses are uniquely found for different airbag models with a separate, fully automatic, simulated annealing algorithm.
Satisfying results are presented for both synthetic and real-world data.
Naouai, Mohamed. "Localisation et reconstruction du réseau routier par vectorisation d'image THR et approximation des contraintes de type "NURBS"." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-00994333.
Full textFéraud, Thomas. "Rejeu de chemin et localisation monoculaire : application du Visual SLAM sur carte peu dense en environnement extérieur contraint." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2011. http://tel.archives-ouvertes.fr/tel-00697028.
Full textNorth, Peter R. J. "The reconstruction of visual appearance by combining stereo surfaces." Thesis, University of Sussex, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362837.
Full textEbrahimi, Shahin. "Contribution to automatic adjustments of vertebrae landmarks on x-ray images for 3D reconstruction and quantification of clinical indices." Thesis, Paris, ENSAM, 2017. http://www.theses.fr/2017ENAM0050/document.
Full textExploitation of spine radiographs, in particular for 3D spine shape reconstruction of scoliotic patients, is a prerequisite for personalized modelling. Current methods, even though robust enough to be used in clinical routine, still rely on tedious manual adjustments. In this context, this PhD thesis aims toward automated detection of specific vertebrae landmarks in spine radiographs, enabling automated adjustments. In the first part, we developed an original Random Forest based framework for vertebrae corner localization that was applied on sagittal radiographs of both cervical and lumbar spine regions. A rigorous evaluation of the method confirms robustness and high accuracy of the proposed method. In the second part, we developed an algorithm for the clinically-important task of pedicle localization in the thoracolumbar region on frontal radiographs. The proposed algorithm compares favourably to similar methods from the literature while relying on less manual supervision. The last part of this PhD tackled the scarcely-studied task of joint detection, identification and segmentation of spinous processes of cervical vertebrae in sagittal radiographs, with again high precision performance. All three algorithmic solutions were designed around a generic framework exploiting dedicated visual feature descriptors and multi-class Random Forest classifiers, proposing a novel solution with computational and manual supervision burdens aiming for translation into clinical use. Overall, the presented frameworks suggest a great potential of being integrated in current spine 3D reconstruction frameworks that are used in daily clinical routine
Haouchine, Nazim. "Image-guided simulation for augmented reality during hepatic surgery." Thesis, Lille 1, 2015. http://www.theses.fr/2015LIL10009/document.
Full textThe main objective of this thesis is to provide surgeons with tools for pre and intra-operative decision support during minimally invasive hepatic surgery. These interventions are usually based on laparoscopic techniques or, more recently, flexible endoscopy. During such operations, the surgeon tries to remove a significant number of liver tumors while preserving the functional role of the liver. This involves defining an optimal hepatectomy, i.e. ensuring that the volume of post-operative liver is at least at 55% of the original liver and the preserving at hepatic vasculature. Although intervention planning can now be considered on the basis of preoperative patient-specific, significant movements of the liver and its deformations during surgery data make this very difficult to use planning in practice. The work proposed in this thesis aims to provide augmented reality tools to be used in intra-operative conditions in order to visualize the position of tumors and hepatic vascular networks at any time
Books on the topic "Visual image reconstruction"
Blake, Andrew. Visual reconstruction. Cambridge, Mass: MIT, 1987.
Find full textHuck, Friedrich O. Visual communication: An information theoryapproach. Boston, Mass: Kluwer Academic, 1997.
Find full textHuck, Friedrich O. Visual communication: An information theory approach. Boston: Kluwer Academic Publishers, 1997.
Find full textWiber, Melanie. Erect men/undulating women: The visual imagery of gender, race, and progress in reconstructive illustrations of human evolution. Waterloo, Ont: Wilfrid Laurier University Press, 1997.
Find full textHuck, Friedrich O., Zia-ur Rahman, and Carl L. Fales. Visual Communication: An Information Theory Approach. Springer London, Limited, 2013.
Find full textMcDaniel, Justin Thomas. Conclusions and Comparisons. University of Hawai'i Press, 2017. http://dx.doi.org/10.21313/hawaii/9780824865986.003.0005.
Full textKrass, Urte. The Portuguese Restoration of 1640 and Its Global Visualization. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463725637.
Full textLeskinen, Maria V., and Eugeny A. Yablokov, eds. All men and beasts, lions, eagles, quails… Anthropomorphic and Zoomorphic Representations of Nations and States in Slavic Сultural Discourse. Institute of Slavic Studies, Russian Academy of Sciences, 2020. http://dx.doi.org/10.31168/0441-1.
Full textAthanassaki, Lucia, and Frances Titchener, eds. Plutarch's Cities. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192859914.001.0001.
Full textBook chapters on the topic "Visual image reconstruction"
Huck, Friedrich O., Carl L. Fales, and Zia-ur Rahman. "Image Gathering and Reconstruction." In Visual Communication, 13–35. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2568-1_2.
Full textZachariah, Anagha, Sandeep Kumar Satapathy, and Shruti Mishra. "Visual Image Reconstruction Using fMRI Analysis." In Reconnoitering the Landscape of Edge Intelligence in Healthcare, 191–216. New York: Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003401841-14.
Full textBruzzone, E., G. Garibotto, and F. Mangili. "Three-Dimensional Surface Reconstruction Using Delaunay Triangulation in the Image Plane." In Visual Form, 99–108. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0715-8_11.
Full textPrades, Albert, and Jorge Núñez. "Improving Astrometric Measurements Using Image Reconstruction." In Visual Double Stars: Formation, Dynamics and Evolutionary Tracks, 15–25. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1477-3_3.
Full textNakai, Hiroyuki, Shuhei Yamamoto, Yasuhiro Ueda, and Yoshihide Shigeyama. "High Resolution and High Dynamic Range Image Reconstruction from Differently Exposed Images." In Advances in Visual Computing, 713–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_70.
Full textLi, Hongsong, Ting Song, Zehuan Wu, Jiandong Ma, and Gangyi Ding. "Reconstruction of a Complex Mirror Surface from a Single Image." In Advances in Visual Computing, 402–12. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14249-4_38.
Full textJin, Ge, Sang-Joon Lee, James K. Hahn, Steven Bielamowicz, Rajat Mittal, and Raymond Walsh. "3D Surface Reconstruction and Registration for Image Guided Medialization Laryngoplasty." In Advances in Visual Computing, 761–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11919476_76.
Full textHou, Meng. "Visual Reconstruction Design Based on Image Technology Emotion." In Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence, 184–90. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2092-1_23.
Full textYuan, Xin’an, Wei Li, Jianming Zhao, Xiaokang Yin, Xiao Li, and Jianchao Zhao. "Visual Reconstruction of Irregular Crack in Austenitic Stainless Steel Based on ACFM Technique." In Recent Development of Alternating Current Field Measurement Combine with New Technology, 99–114. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4224-0_6.
Full textDamiand, Guillaume, and David Coeurjolly. "A Generic and Parallel Algorithm for 2D Image Discrete Contour Reconstruction." In Advances in Visual Computing, 792–801. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89646-3_78.
Full textConference papers on the topic "Visual image reconstruction"
Vaezi, Matt M., Behnam Bavarian, and Glenn Healey. "Image reconstruction of IDS filter response." In Visual Communications, '91, Boston, MA, edited by Kou-Hu Tzou and Toshio Koga. SPIE, 1991. http://dx.doi.org/10.1117/12.50350.
Full textTian, Qi, Like Zhang, and Jingsheng Ma. "Voting based object boundary reconstruction." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.633444.
Full textGuo, Weihong, and Wotao Yin. "EdgeCS: edge guided compressive sensing reconstruction." In Visual Communications and Image Processing 2010, edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, and Guo Wei. SPIE, 2010. http://dx.doi.org/10.1117/12.863354.
Full textLe Mestre, Gwenaelle, and Danielle Pele. "Trinocular image analysis for virtual frame reconstruction." In Visual Communications and Image Processing '96, edited by Rashid Ansari and Mark J. T. Smith. SPIE, 1996. http://dx.doi.org/10.1117/12.233198.
Full textKim, Chul-Woo, HyoJoon Kim, and ChoongWoong Lee. "Image reconstruction through projection of wavelet coefficients." In Visual Communications and Image Processing '96, edited by Rashid Ansari and Mark J. T. Smith. SPIE, 1996. http://dx.doi.org/10.1117/12.233289.
Full textSun, Xi, Ying Zheng, and Zengfu Wang. "Model-assisted face reconstruction based on binocular stereo." In Visual Communications and Image Processing 2010, edited by Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, and Guo Wei. SPIE, 2010. http://dx.doi.org/10.1117/12.863269.
Full textLin, Wen-Huei, Chin-Hsing Chen, and Jiann-Shu Lee. "Interpolation for 3D object reconstruction using wavelet transforms." In Visual Communications and Image Processing '95, edited by Lance T. Wu. SPIE, 1995. http://dx.doi.org/10.1117/12.206645.
Full textSdigui, A., G. Barta, and M. Benjelloun. "Three-dimensional object reconstruction from a monocular image." In Visual Communications and Image Processing '94, edited by Aggelos K. Katsaggelos. SPIE, 1994. http://dx.doi.org/10.1117/12.186026.
Full textBrites, Catarina, Vitor Gomes, Joao Ascenso, and Fernando Pereira. "Statistical reconstruction for predictive video coding." In 2014 Visual Communications and Image Processing (VCIP). IEEE, 2014. http://dx.doi.org/10.1109/vcip.2014.7051624.
Full textTom, Brian C., and Aggelos K. Katsaggelos. "Reconstruction of a high-resolution image from multiple-degraded misregistered low-resolution images." In Visual Communications and Image Processing '94, edited by Aggelos K. Katsaggelos. SPIE, 1994. http://dx.doi.org/10.1117/12.186041.
Full textReports on the topic "Visual image reconstruction"
Makhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3864.
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