Bibliografías temáticas / Spectral geometry processing

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Literatura académica sobre el tema "Spectral geometry processing"

Autor: Grafiati
Publicado: 11 de marzo de 2023
Última modificación: 19 de julio de 2025

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Artículos de revistas sobre el tema "Spectral geometry processing"

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Vallet, B., and B. Lévy. "Spectral Geometry Processing with Manifold Harmonics." Computer Graphics Forum 27, no. 2 (2008): 251–60. http://dx.doi.org/10.1111/j.1467-8659.2008.01122.x.

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Fumero, Marco, Michael Möller, and Emanuele Rodolà. "Nonlinear spectral geometry processing via the TV transform." ACM Transactions on Graphics 39, no. 6 (2020): 1–16. http://dx.doi.org/10.1145/3414685.3417849.

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Clouet, Axel, Jérôme Vaillant, and David Alleysson. "The Geometry of Noise in Color and Spectral Image Sensors." Sensors 20, no. 16 (2020): 4487. http://dx.doi.org/10.3390/s20164487.

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Digital images are always affected by noise and the reduction of its impact is an active field of research. Noise due to random photon fall onto the sensor is unavoidable but could be amplified by the camera image processing such as in the color correction step. Color correction is expressed as the combination of a spectral estimation and a computation of color coordinates in a display color space. Then we use geometry to depict raw, spectral and color signals and noise. Geometry is calibrated on the physics of image acquisition and spectral characteristics of the sensor to study the impact of
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Kleinert, A., F. Friedl-Vallon, T. Guggenmoser, et al. "Level 0 to 1 processing of the imaging Fourier transform spectrometer GLORIA: generation of radiometrically and spectrally calibrated spectra." Atmospheric Measurement Techniques 7, no. 12 (2014): 4167–84. http://dx.doi.org/10.5194/amt-7-4167-2014.

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Abstract. The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) is an imaging Fourier transform spectrometer that is capable of operating on various high-altitude research aircraft. It measures the atmospheric emission in the thermal infrared spectral region in limb and nadir geometry. GLORIA consists of a classical Michelson interferometer combined with an infrared camera. The infrared detector has a usable area of 128 × 128 pixels, measuring up to 16 384 interferograms simultaneously. Imaging Fourier transform spectrometers impose a number of challenges with respect to
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Kleinert, A., F. Friedl-Vallon, T. Guggenmoser, et al. "Level 0 to 1 processing of the imaging Fourier transform spectrometer GLORIA: generation of radiometrically and spectrally calibrated spectra." Atmospheric Measurement Techniques Discussions 7, no. 3 (2014): 2827–78. http://dx.doi.org/10.5194/amtd-7-2827-2014.

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Abstract. The Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA) is an imaging Fourier transform spectrometer that is capable of operating on various high altitude research aircraft. It measures the atmospheric emission in the thermal infrared spectral region in limb and nadir geometry. GLORIA consists of a classical Michelson interferometer combined with an infrared camera. The infrared detector has a usable range of 128 × 128 pixels, measuring up to 16 384 interferograms simultaneously. Imaging Fourier transform spectrometers impose a number of challenges with respect to
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Patané, Giuseppe. "STAR - Laplacian Spectral Kernels and Distances for Geometry Processing and Shape Analysis." Computer Graphics Forum 35, no. 2 (2016): 599–624. http://dx.doi.org/10.1111/cgf.12866.

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Litvinovich, Hl S., and I. I. Bruchkouski. "Algorithm for preliminary processing of charge coupled devices array data based on the adaptive Wiener filter." Informatics 18, no. 1 (2021): 72–83. http://dx.doi.org/10.37661/1816-0301-2021-18-1-72-83.

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The researcher should choose the modes of recording spectra which allow to achieve the highest accuracy of spectral measurements in remote sensing systems. When registering a signal from aircraft which provide maximum coverage of the studied area, it is important to obtain a signal with the maximum signal-to- noise ratio in a minimum time, since the accumulation of spectra samples for averaging is impossible. The paper presents the experimental results of determining the noise components (readout noise, photon, electronic shot, pattern noise) for a monochrome uncooled CCD-line detector Toshiba
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Jiang, Yonghua, Jingyin Wang, Li Zhang, Guo Zhang, Xin Li, and Jiaqi Wu. "Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites." Remote Sensing 11, no. 9 (2019): 996. http://dx.doi.org/10.3390/rs11090996.

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The second batch of Zhuhai-1 microsatellites was successfully launched on 26 April 2018. The batch included four Orbita hyperspectral satellites (referred to as OHS-A, OHS-B, OHS-C, and OHS-D) and one video satellite (OVS-2A), which have excellent hyperspectral data acquisition abilities. For the first time in China, a number of hyperspectral satellite networks have been realized. To ensure the application of hyperspectral remote sensing data, a series of on-orbit geometry processing and accuracy verification studies has been carried out on the “Zhuhai-1” hyperspectral camera since the satelli
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Feng, Sheng, Xiaoqiang Hua, and Xiaoqian Zhu. "Matrix Information Geometry for Spectral-Based SPD Matrix Signal Detection with Dimensionality Reduction." Entropy 22, no. 9 (2020): 914. http://dx.doi.org/10.3390/e22090914.

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In this paper, a novel signal detector based on matrix information geometric dimensionality reduction (DR) is proposed, which is inspired from spectrogram processing. By short time Fourier transform (STFT), the received data are represented as a 2-D high-precision spectrogram, from which we can well judge whether the signal exists. Previous similar studies extracted insufficient information from these spectrograms, resulting in unsatisfactory detection performance especially for complex signal detection task at low signal-noise-ratio (SNR). To this end, we use a global descriptor to extract ab
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Zolotov, Denis, Alexey Buzmakov, Maxim Grigoriev, and Igor Schelokov. "Dual-energy crystal-analyzer scheme for spectral tomography." Journal of Applied Crystallography 53, no. 3 (2020): 781–88. http://dx.doi.org/10.1107/s1600576720005439.

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In the present work, a method for adjusting a crystal analyzer to separate two characteristic lines from the spectrum of a conventional X-ray tube for simultaneous registration of tomographic projections is proposed. The experimental implementation of this method using radiation of a molybdenum anode (Kα1, Kβ lines) and a silicon Si(111) crystal analyzer in Laue geometry is presented. Projection images at different wavelengths are separated in space and can be recorded independently for further processing. Potential uses of this scheme are briefly discussed.
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Tesis sobre el tema "Spectral geometry processing"

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Yu, Wang S. M. Massachusetts Institute of Technology. "Steklov geometry processing : an extrinsic approach to spectral shape analysis." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118033.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 75-80).<br>We propose using the Dirichlet-to-Neumann operator as an extrinsic alternative to the Laplacian for spectral geometry processing and shape analysis. Intrinsic approaches, usually based on the Laplace-Beltrami operator, cannot capture the spatial embedding of a shape up to rigid motion, and many previous extrinsic methods lack theoretical justification. Instead, we consider the Stek
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IRFAN, MUHAMMAD ABEER. "Joint geometry and color denoising for 3D point clouds." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2912976.

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Magnet, Robin. "Robust spectral methods for shape analysis and deformation assessment." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX043.

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Le traitement et l’analyse automatiques des formes 3D est un domaine actif de la recherche moderne, avec des retombées dans de nombreux domaines.L'un des principaux défis de ce domaine réside dans la comparaison efficace des formes, par exemple pour détecter des anomalies dans les scanners d'organes, ce qui nécessite souvent d'établir des correspondances entre les surfaces.En particulier, le cadre des cartes fonctionnelles, basé sur l'analyse spectrale des formes, offre une approche flexible pour représenter et calculer ces correspondances, servant de base pour les analyses ultérieures.Cette t
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Rabiei, Hamed. "Spectral analysis of the cerebral cortex complexity." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0289/document.

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La complexité de la forme de la surface est une caractéristique morphologique des surfaces pliées. Dans cette thèse, nous visons à développer des méthodes spectrales pour quantifier cette caractéristique du cortex cérébral humain reconstruit à partir d'images MR structurales. Tout d'abord, nous suggérons certaines propriétés qu'une mesure standard de la complexité de surface devrait posséder. Ensuite, nous proposons deux définitions claires de la complexité de la surface en fonction des propriétés de flexion de surface. Pour quantifier ces définitions, nous avons étendu la transformée de Fouri
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Zhou, Bingxin. "Geometric Signal Processing with Graph Neural Networks." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/28617.

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One of the most predominant techniques that have achieved phenomenal success in many modern applications is deep learning. The obsession with massive data analysis in image recognition, speech processing, and text understanding spawns remarkable advances in deep learning of diverse research areas. The alliance of deep learning technologies yields mighty graph neural networks (GNNs), an emerging type of deep neural networks that encodes internal structural relationships of inputs. The mainstream of GNNs finds an adequate numerical representation of graphs, which is vital to the prediction perfo
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Sirugue, Léa. "Conception et développement d’une méthode de comparaison de surfaces appliquée aux protéines." Thesis, Paris, HESAM, 2020. http://www.theses.fr/2020HESAC042.

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Les interactions entre protéines jouent un rôle crucial dans les processus du vivant comme la communication cellulaire, l’immunité, la croissance, prolifération et la mort cellulaires. Ces interactions se font via leur surface et la perturbation des interactions entre protéines est à la base de nombreux processus pathologiques. Il est donc nécessaire de bien comprendre et caractériser la surface des protéines et leurs interactions mutuelles de manière à mieux comprendre les processus du vivant. Différentes méthodes de comparaison de la surface des protéines ont été développées ces dernières an
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Goes, Fernando Ferrari de. "Analise espectral de superficies e aplicações em computação grafica." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275916.

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Orientador: Siome Klein Goldenstein<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-14T02:23:56Z (GMT). No. of bitstreams: 1 Goes_FernandoFerraride_M.pdf: 31957234 bytes, checksum: c369081bcbbb5f360184a1f8467839ea (MD5) Previous issue date: 2009<br>Resumo: Em computação gráfica, diversos problemas consistem na análise e manipulação da geometria de superfícies. O operador Laplace-Beltrami apresenta autovalores e autofunções que caracterizam a geometria de variedades, proporcionando poderosas ferramentas para o proce
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Batard, Thomas. "Géométrie différentielle des fibrés vectoriels et algèbres de Clifford appliquées au traitement d'images multicanaux." Phd thesis, Université de La Rochelle, 2009. http://tel.archives-ouvertes.fr/tel-00684250.

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Le sujet de cette thèse est l'apport d'applications du formalisme des algèbres de Clifford au traitement d'images multicanaux. Nous y introduisons également l'utilisation du cadre des fibrés vectoriels en traitement d'image. La Partie 1 est consacrée à la segmentation d'images multicanaux. Nous généralisons l'approche de Di Zenzo pour la détection de contours en construisant des tenseurs métriques adaptés au choix de la segmentation. En utilisant le cadre des fibrés en algèbres de Clifford, nous montrons que le choix d'une segmentation d'une image est directement lié au choix d'une métrique, d
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Melzi, Simone. "Local Geometry Processing for Deformations of Non-Rigid 3D Shapes." Doctoral thesis, 2018. http://hdl.handle.net/11562/982676.

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Geometry processing and in particular spectral geometry processing deal with many different deformations that complicate shape analysis problems for non-rigid 3D objects. Furthermore, pointwise description of surfaces has increased relevance for several applications such as shape correspondences and matching, shape representation, shape modelling and many others. In this thesis we propose four local approaches to face the problems generated by the deformations of real objects and improving the pointwise characterization of surfaces. Differently from global approaches that work simultaneously
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Libros sobre el tema "Spectral geometry processing"

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Fischer, P. F. On the optimal number of subdomains for hyperbolic problems on parallel computers. National Aeronautics and Space Administration, Langley Research Center, 1997.

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Fischer, Paul. On the optimal number of subdomains for hyperbolic problems on parallel computers. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1996.

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Bluston, H. S. Geometric and computer graphics applications of the spectrum / spectrum plus computers. Energy Consultancy, 1986.

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Jørgensen, Palle E. T., 1947-, ed. Wavelets through a looking glass: The world of the spectrum. Birkhäuser, 2002.

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Patane, Giuseppe. Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications. Morgan & Claypool Publishers, 2017.

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Bratteli, Ola, Palle Jorgensen, and B. Treadway. Wavelets Through a Looking Glass: The World of the Spectrum. Birkhäuser, 2013.

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Bratteli, Ola, Palle Jorgensen, and B. Treadway. Wavelets Through a Looking Glass: The World of the Spectrum. Springer, 2007.

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Bratteli, Ola, and Palle Jorgensen. Wavelets through a Looking Glass (Applied and Numerical Harmonic Analysis). Birkhäuser Boston, 2002.

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Capítulos de libros sobre el tema "Spectral geometry processing"

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Kim, Sung-Yeol, Seung-Uk Yoon, and Yo-Sung Ho. "Spectral Coding of Three-Dimensional Mesh Geometry Information Using Dual Graph." In Advances in Multimedia Information Processing - PCM 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30541-5_51.

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Liu, Rong, Hao Zhang, and Oliver van Kaick. "Spectral Sequencing Based on Graph Distance." In Geometric Modeling and Processing - GMP 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802914_50.

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Jain, Varun, and Hao Zhang. "Shape-Based Retrieval of Articulated 3D Models Using Spectral Embedding." In Geometric Modeling and Processing - GMP 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802914_21.

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"Spectral Transform." In A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing. A K Peters/CRC Press, 2015. http://dx.doi.org/10.1201/b18472-7.

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Bliznyuk, Ulyana, Aleksandr Chernyaev, Victoria Ipatova, Aleksandr Nikitchenko, Felix Studenikin, and Sergei Zolotov. "Electron Beam Processing of Biological Objects and Materials." In Ion Beam Technology and Applications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112699.

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The research explores a wide range of applications for electron accelerators in industrial irradiation processing. It also compares the physical properties of electron beams, dose ranges, and methods used for irradiation of polymers, medical items, transplantology objects, pharmaceuticals, and foods. Moreover, the study discusses the depth dose non-uniformity in objects irradiated with accelerated electrons. The research also highlights the dependency of geometry, density, and chemical composition of the object on the dose distribution. Another focus of the study is computer simulation of electron irradiation method, encompassing all physical and technical parameters to assess the dose distribution throughout the irradiated objects, since without knowing the precise electron beam spectrum, it is impossible to accurately reconstruct the dose distribution throughout the objects. Considering that the beam spectrum cannot always be identified, especially for industrial accelerators, the study presents algorithm for reconstructing the dose distribution in irradiated objects. The final part of the research provides methods for increasing the dose uniformity throughout objects irradiated with electron beams.
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Hirschmugl Manuela, Schardt Mathias, Häusler Thomas, Gomez Sharon, and Armathe Joseph Amagu. "REDD pilot project in Cameroon &ndash; method development and first results." In Remote Sensing for a Changing Europe. IOS Press, 2009. https://doi.org/10.3233/978-1-58603-986-8-205.

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This paper describes a method for monitoring the implementation of the REDD (Reducing Emissions from Deforestation and Degradation) process for a pilot project in Cameroon. A method was developed and tested in a test area in the transition zone between tropical evergreen forest and savannah in Cameroon. The method developed involved a series of processing steps which can be divided into three groups: (1) pre-processing steps including cloud masking, geometric and radiometric adjustment as well as topographic normalization; (2) forest masking including segmentation, classification and manual correction and finally (3) land cover classification including spectral signature analysis and training. The last part showed the most crucial problem encountered in this test phase: due to shifting cultivation, it is difficult to differentiate cropland in the stage, where it is left to bush fallow and natural bush land and secondary forest. The method and results were compared to similar studies already performed in Bolivia and Vanuatu and the differences are discussed. The results gained in the Cameroon test area showed, that 529.786 km2(equivalent to 3.45% of the forested area) was deforested between 1990 and 2000, further 88.547 km2(3.44% of the forested area) between 2000 and 2005. Further investigations will include more detailed studies on the issue of degradation and the applicability of the method for the roll-out on the whole country of Cameroon as well as on other countries in the Congo region.
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Mahjoobi, Emad, and Fatemeh Rafiei. "Exploring the Potential of Geospatial Data: An In-Depth Investigation." In Exploring Remote Sensing - Methods and Applications [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1006999.

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Remote sensing revolutionizes our understanding of Earth’s surface, leveraging data acquisition platforms like satellites utilizing a vast electromagnetic spectrum (optical, radar, and Light Detection and Ranging (LiDAR)), and reveals information beyond human perception. Preprocessing (geometric/radiometric correction and georeferencing) ensures data quality, while the ever-increasing volume presents challenges in storage, processing, and skillsets. Fortunately, advancements in cloud computing and big data analytics are mitigating these limitations. This data empowers various fields: environmental monitoring allows for real-time tracking of deforestation and land cover changes, while resource management benefits from mapping water resources, mineral deposits, and agricultural productivity. Scientific discovery flourishes with the capability to study climate change, map biodiversity, and analyze intricate planetary dynamics. The combination of big data analytics and machine learning has introduced a new era in remote sensing, unlocking unprecedented opportunities for extracting valuable insights from vast and complex datasets. This powerful combination has led to significant advancements across various applications, driving improved efficiency, accuracy, and decision-making. Remote sensing stands as a powerful tool for Earth observation, offering a multifaceted perspective on our planet’s health and resources. As technology continues to evolve, the potential of remote sensing will undoubtedly expand, fostering a deeper understanding and a more sustainable future for Earth.
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Actas de conferencias sobre el tema "Spectral geometry processing"

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Pauly, Mark, and Markus Gross. "Spectral processing of point-sampled geometry." In the 28th annual conference. ACM Press, 2001. http://dx.doi.org/10.1145/383259.383301.

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Heylen, Rob, and Paul Scheunders. "Spectral unmixing using distance geometry." In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011. http://dx.doi.org/10.1109/whispers.2011.6080889.

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Li, Yili, and K. M. Wong. "Signal classification by power spectral density: An approach via Riemannian geometry." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319854.

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Konur, Umut, Ulug Bayazit, Hasan F. Ates, and Fikret S. Gurgen. "Spectral Coding of Mesh Geometry with a Hierarchical Set Partitioning Algorithm." In 2007 IEEE 15th Signal Processing and Communications Applications. IEEE, 2007. http://dx.doi.org/10.1109/siu.2007.4298692.

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Forster, P., and T. Aste. "Rectification of cross spectral matrices for arrays of arbitrary geometry." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.761351.

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Cui, Kangning, Ruoning Li, Sam L. Polk, James M. Murphy, Robert J. Plemmons, and Raymond H. Chan. "Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry." In 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2022. http://dx.doi.org/10.1109/whispers56178.2022.9955069.

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Cai, Baolai, Chentao Yue, Jiamin Li, and Pengcheng Zhu. "Downlink spectral efficiency of multi-user distributed antenna systems under a stochastic geometry model." In 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2017. http://dx.doi.org/10.1109/wcsp.2017.8171033.

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Pazi, Idan, Dvir Ginzburg, and Dan Raviv. "Unsupervised Scale-Invariant Multispectral Shape Matching." In 24th Irish Machine Vision and Image Processing Conference. Irish Pattern Recognition and Classification Society, 2022. http://dx.doi.org/10.56541/vhmq4826.

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Alignment between non-rigid stretchable structures is one of the most challenging tasks in computer vision, as the invariant properties are hard to define, and there is no labeled data for real datasets. We present unsupervised neural network architecture based upon the spectral domain of scale-invariant geometry. We build on top of the functional maps architecture, but show that learning local features, as done until now, is not enough once the isometry assumption breaks. We demonstrate the use of multiple scale-invariant geometries for solving this problem. Our method is agnostic to local-sc
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Chang, Hanpeng, Yue Wen, Siu Lung Lee, et al. "Light Induced Autofluorescence for Detection of Nasopharyngeal Carcinoma in vivo." In European Conference on Biomedical Optics. Optica Publishing Group, 2001. http://dx.doi.org/10.1364/ecbo.2001.4432_186.

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To improve the accuracy of conventional white light endoscopy in detecting the small lesion and identifying the margin of observable tumors, in vivo, the potential of light-induced fluorescence (LIF) spectroscopic imaging, using a genera multivariate spectral classification algorithm, was evaluated. A conventional endoscopic system with a multiple channel spectrometer was used to measure the autofluorescence of nasopharyngeal tissue in vivo. Classification was based on the spectral difference between the carcinoma and normal tissue. A sophisticated algorithm based on Principal Component Analys
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Tootooni, M. Samie, Ashley Dsouza, Ryan Donovan, Prahalad K. Rao, Zhenyu (James) Kong, and Peter Borgesen. "Assessing the Geometric Integrity of Additive Manufactured Parts From Point Cloud Data Using Spectral Graph Theoretic Sparse Representation-Based Classification." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2794.

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This work proposes a novel approach for geometric integrity assessment of additive manufactured (AM, 3D printed) components, exemplified by acrylonitrile butadiene styrene (ABS) polymer parts made using fused filament fabrication (FFF) process. The following two research questions are addressed in this paper: (1) what is the effect of FFF process parameters, specifically, infill percentage (If) and extrusion temperature (Te) on geometric integrity of ABS parts?; and (2) what approach is required to differentiate AM parts with respect to their geometric integrity based on sparse sampling from a
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Informes sobre el tema "Spectral geometry processing"

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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real tim
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