Relevant bibliographies by topics / Geodesic distances

Contents

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

Academic literature on the topic 'Geodesic distances'

Author: Grafiati
Published: 14 December 2024
Last updated: 11 January 2025

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Journal articles on the topic "Geodesic distances"

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Li, Yue, Logan Numerow, Bernhard Thomaszewski, and Stelian Coros. "Differentiable Geodesic Distance for Intrinsic Minimization on Triangle Meshes." ACM Transactions on Graphics 43, no. 4 (2024): 1–14. http://dx.doi.org/10.1145/3658122.

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Computing intrinsic distances on discrete surfaces is at the heart of many minimization problems in geometry processing and beyond. Solving these problems is extremely challenging as it demands the computation of on-surface distances along with their derivatives. We present a novel approach for intrinsic minimization of distance-based objectives defined on triangle meshes. Using a variational formulation of shortest-path geodesics, we compute first and second-order distance derivatives based on the implicit function theorem, thus opening the door to efficient Newton-type minimization solvers.
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Guzmán Naranjo, Matías, and Gerhard Jäger. "Euclide, the crow, the wolf and the pedestrian: distance metrics for linguistic typology." Open Research Europe 3 (June 21, 2023): 104. http://dx.doi.org/10.12688/openreseurope.16141.1.

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It is common for people working on linguistic geography, language contact and typology to make use of some type of distance metric between lects. However, most work so far has either used Euclidean distances, or geodesic distance, both of which do not represent the real separation between communities very accurately. This paper presents two datasets: one on walking distances and one on topographic distances between over 8700 lects across all macro-areas. We calculated walking distances using Open Street Maps data, and topographic distances using digital elevation data. We evaluate these distan
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Mejia-Parra, Daniel, Jairo R. Sánchez, Jorge Posada, Oscar Ruiz-Salguero, and Carlos Cadavid. "Quasi-Isometric Mesh Parameterization Using Heat-Based Geodesics and Poisson Surface Fills." Mathematics 7, no. 8 (2019): 753. http://dx.doi.org/10.3390/math7080753.

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In the context of CAD, CAM, CAE, and reverse engineering, the problem of mesh parameterization is a central process. Mesh parameterization implies the computation of a bijective map ϕ from the original mesh M ∈ R 3 to the planar domain ϕ ( M ) ∈ R 2 . The mapping may preserve angles, areas, or distances. Distance-preserving parameterizations (i.e., isometries) are obviously attractive. However, geodesic-based isometries present limitations when the mesh has concave or disconnected boundary (i.e., holes). Recent advances in computing geodesic maps using the heat equation in 2-manifolds motivate
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WANG, SONGJING, ZHOUYU YU, and LIFENG XI. "AVERAGE GEODESIC DISTANCE OF SIERPINSKI GASKET AND SIERPINSKI NETWORKS." Fractals 25, no. 05 (2017): 1750044. http://dx.doi.org/10.1142/s0218348x1750044x.

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The average geodesic distance is concerned with complex networks. To obtain the limit of average geodesic distances on growing Sierpinski networks, we obtain the accurate value of integral in terms of average geodesic distance and self-similar measure on the Sierpinski gasket. To provide the value of integral, we find the phenomenon of finite pattern on integral inspired by the concept of finite type on self-similar sets with overlaps.
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Jenčová, Anna. "Geodesic distances on density matrices." Journal of Mathematical Physics 45, no. 5 (2004): 1787–94. http://dx.doi.org/10.1063/1.1689000.

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Guzmán Naranjo, Matías, and Gerhard Jäger. "Euclide, the crow, the wolf and the pedestrian: distance metrics for linguistic typology." Open Research Europe 3 (July 2, 2024): 104. http://dx.doi.org/10.12688/openreseurope.16141.2.

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It is common for people working on linguistic geography, language contact and typology to make use of some type of distance metric between lects. However, most work so far has either used Euclidean distances, or geodesic distance, both of which do not represent the real separation between communities very accurately. This paper presents two datasets: one on walking distances and one on topographic distances between over 8700 lects across all macro-areas. We calculated walking distances using Open Street Maps data, and topographic distances using digital elevation data. We evaluate these distan
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BORGELT, MAGDALENE G., MARC VAN KREVELD, and JUN LUO. "GEODESIC DISKS AND CLUSTERING IN A SIMPLE POLYGON." International Journal of Computational Geometry & Applications 21, no. 06 (2011): 595–608. http://dx.doi.org/10.1142/s0218195911003822.

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Let P be a simple polygon of n vertices and let S be a set of N points lying in the interior of P. A geodesic diskGD(p,r) with center p and radius r is the set of points in P that have a geodesic distance ≤ r from p (where the geodesic distance is the length of the shortest polygonal path connection that lies in P). In this paper we present an output sensitive algorithm for finding all N geodesic disks centered at the points of S, for a given value of r. Our algorithm runs in [Formula: see text] time, for some constant c and output size k. It is the basis of a cluster reporting algorithm where
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Hino, Masanori. "Geodesic Distances and Intrinsic Distances on Some Fractal Sets." Publications of the Research Institute for Mathematical Sciences 50, no. 2 (2014): 181–205. http://dx.doi.org/10.4171/prims/129.

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Mahdi, Hussein Alwan. "A MODIFIED METHOD FOR DETERMINATION OF SCALE FACTOR OF THE PROJECTED GEODESIC." Journal of Engineering 12, no. 03 (2006): 882–95. http://dx.doi.org/10.31026/j.eng.2006.03.31.

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Conformal projection is one of the most important aspects that geodesy dealing with. Thedetermination of the scale factors in the meridian, the parallel and projected geodesic directions are thefinal result of the conformal projection. Methods for determining the scale factors in the meridian andthe parallel directions have a quite sufficient accuracy. While methods for determining the projectedgeodesic have different accuracy and computation complicity.This research adopts a modified method for computing the exact value of scale factor ingeodesic direction. In this method the scale factor is
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Noyel, Guillaume, Jesús Angulo, and Dominique Jeulin. "FAST COMPUTATION OF ALL PAIRS OF GEODESIC DISTANCES." Image Analysis & Stereology 30, no. 2 (2011): 101. http://dx.doi.org/10.5566/ias.v30.p101-109.

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Computing an array of all pairs of geodesic distances between the pixels of an image is time consuming. In the sequel, we introduce new methods exploiting the redundancy of geodesic propagations and compare them to an existing one. We show that our method in which the source point of geodesic propagations is chosen according to its minimum number of distances to the other points, improves the previous method up to 32 % and the naive method up to 50 % in terms of reduction of the number of operations.
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Dissertations / Theses on the topic "Geodesic distances"

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Oliveira, Guilherme do Nascimento. "Procedural textures mapping using geodesic distances." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/34767.

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O mapeamento de texturas é uma técnica bastante importante para adicionar detalhamento a modelos geométricos. O mapeamento de texturas baseadas em imagens costuma ser a abordagem preferida, mas faz uso de imagens pré-computadas que são mais adequadas à representação de padrões estáticos. Por outro lado, texturas procedurais oferecem uma alternativa que depende de funções para descrever os padrões das texturas. Elas garantem mais flexibilidade na definição dos padrões em cenas dinâmicas, tendo ainda uma representação mais compacta e dando um maior controle da aparência da textura através do aju
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Bertrand, Théo. "Méthodes géodésiques et apprentissage pour l’imagerie de microscopie par localisation ultrasonore." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLD024.

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La méthode de Microscopie par Localisation Ultrasonore (ULM) est une nouvelle méthode d'imagerie médicale super-résolue qui permet d'outrepasser le compromis précision/distance de pénétration dans les tissus pour l'imagerie du réseau vasculaire. Ce nouveau type d'images pose de nouveaux enjeux mathématiques, notamment pour la segmentation et l'analyse de ses images, étapes nécessaires pour arriver à des méthodes pour le diagnostic. Notre travail se positionne à l'intersection des méthodes géodésiques et des méthodes de Machine Learning. Dans cette thèse nous apportons trois contributions. Une
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Makaroff, Nicolas. "Segmentation by deep learning with geometric constraints and active contours." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLD030.

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La segmentation des images médicales est une tâche critique dans la pratique clinique, nécessitant des méthodes précises et fiables pour aider au diagnostic et à la planification du traitement. Cependant, les approches d'apprentissage profond existantes manquent souvent d'interprétabilité et de robustesse, ce qui limite leur application dans des environnements cliniques sensibles. Cette thèse aborde ces défis en proposant deux nouveaux modèles d'apprentissage profond qui intègrent des techniques classiques de traitement d'images pour améliorer la performance et la fiabilité de la segmentation.
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Nilsson, Ola. "Level-set methods and geodesic distance functions /." Norrköping : Department of Science and Technology, Linköping University, 2009. http://www.bibl.liu.se/liupubl/disp/disp2009/tek1275s.pdf.

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Wang, Rui, and 王睿. "Medial axis simplification based on global geodesic slope and accumulated hyperbolic distance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48330139.

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The medial axis is an important shape representation and the computation of the medial axis is a fundamental research problem in computer graphics. Practically, the medial axis is widely used in various aspects of computer graphics, such as shape analysis, image segmentation, skeleton extraction and mesh generation and so forth. However, the applications of the medial axis have been limited by its sensitivity to boundary perturbations. This characteristic may lead to a number of noise branches and increase the complexity of the medial axis. To solve the sensitivity problem, it is critical to
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Lu, Shi-Jian. "The significance of atmospheric effects in electronic distance measurement." Thesis, University of Leeds, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278369.

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Brandão, Artur Caldas. "Possibilidade de emprego de um campo de pontos planimetrico como definidor de um comparador de distancias colineares." reponame:Repositório Institucional da UFPR, 1996. http://hdl.handle.net/1884/48609.

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Orientador: Quintino Dalmolin<br>Co-orientador: Tarcisio Ferreira Silva<br>Dissertação (mestrado) - Universidade Federal do Paraná<br>Resumo: O procedimento clássico usado para determinar as distâncias interpilares de uma linha base multipilar para calibração de distanciômetros, consiste em avaliar essas distâncias diretamente, usando equipamentos de alta precisão. Nesse caso, a precisão final das distâncias interpilares fica limitada à precisão do próprio equipamento usado. Neste trabalho, foi desenvolvido um procedimento metodológico para definir as distâncias interpilares de uma linha base
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Kohli, Mathieu. "De la notion de courbure géodésique en géométrie sous-Riemannienne." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLX043/document.

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Dans cette thèse, on présente une notion de courbure géodésique pour les courbes lisses horizontales dans une variété sous-Riemannienne de contact, qui indique dans quelle mesure une courbe est différente d'une géodésique. Cette courbure géodésique se présente sous la forme de deux fonctions qui sont toutes deux identiquement nulles le long d'une courbe lisse horizontale si et seulement si cette dernière courbe est une géodésique. Le résultat principal de cette thèse réside dans l'interprétation métrique que l'on donne de ces fonctions de courbure. Cette interprétation consiste à extraire la c
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Arcostanzo, Marc. "Rigidité et prolongement au disque d'une distance sur le bord." Université Joseph Fourier (Grenoble), 1994. http://www.theses.fr/1994GRE10216.

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Etant donne une distance d sur le bord d'un disque de dimension deux, nous cherchons dans cette these a prolonger d en une distance sur le disque tout entier, de telle sorte que l'espace metrique obtenu soit un espace de longueur, par exemple une metrique riemannienne ou finslerienne. Le prolongement est dit rigide s'il est unique a isometrie pres. Des resultats de rigidite ont ete obtenus par r. Michel, j. P. Otal et c. B. Croke en se restreignant aux metriques riemanniennes. Nous prouvons ici la rigidite des metriques euclidiennes a singularites coniques de courbures negatives. Nous donnons
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Miller, Charles Miller. "THE EFFECT OF DISTANCE DECAY: A STUDY OF AUTOMOTIVE RETAILING." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/439401.

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Business Administration/Interdisciplinary<br>D.B.A.<br>Retail automotive literature that examines how the distance between a retail automotive facility and the prospective purchaser affects market performance is limited. Primary data for this study indicates that distance and purchase in the retail automotive sector move in opposite directions. This study examines similar goods that have high barriers of entry and proposes other methods of increasing market reach. This is a study of the conditions that affect the market performance for imported luxury vehicles. First, is the effect of distance
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Books on the topic "Geodesic distances"

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Kravchenko, Yuriy. Surveying. INFRA-M Academic Publishing LLC., 2017. http://dx.doi.org/10.12737/textbook_5900a29b032774.83960082.

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The contents of the book corre-sponds to the curriculum of surveying for building schools. Including historical and general information about on geodesy, the basic principles of treatment results of geodetic measurements, information about topographic maps and plans and solutions the problems with their use, description of instruments and methods of measurement of angles, distances and excesses on the earth surface, information about horizontal and vertical geo-detic networks, methods for creat-ing and processing survey geodes-ic networks, types and methods of survey, a description of the meth
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Rüeger, J. M. Electronic distance measurement: An introduction. 3rd ed. Springer-Verlag, 1990.

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Rüeger, J. M. Electronic distance measurement: An introduction. 3rd ed. Springer-Verlag, 1990.

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Rüeger, J. M. Electronic distance measurement: An introduction. 3rd ed. Springer-Verlag, 1990.

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Rüeger, J. M. Electronic distance measurement: An introduction. 4th ed. Springer, 1996.

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Guoqiang, Tang. Studies of extragalactic radio source structure and its effect on geodetic VLBI measurement. School of Electrical and Computer Engineering, Chalmers University of Technology, 1988.

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Elements of Plane and Spherical Trigonometry: With Their Applications to Heights and Distances Projections of the Sphere, Dialling, Astronomy, the Solution of Equations, and Geodesic Operations. Creative Media Partners, LLC, 2023.

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Rüeger, Jean M. Electronic Distance Measurement: An Introduction. Springer London, Limited, 2012.

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Rüeger, Jean M. Electronic Distance Measurement: An Introduction. 4th ed. Springer, 1996.

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Rueger, Jean M. Electronic Distance Measurement: An Introduction. Springer-Verlag, 1991.

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Book chapters on the topic "Geodesic distances"

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Aiello, Rosario, Francesco Banterle, Nico Pietroni, Luigi Malomo, Paolo Cignoni, and Roberto Scopigno. "Compression and Querying of Arbitrary Geodesic Distances." In Image Analysis and Processing — ICIAP 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23231-7_26.

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Aflalo, Yonathan, and Ron Kimmel. "Measuring Geodesic Distances via the Uniformization Theorem." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24785-9_40.

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Berretti, S., A. Del Bimbo, P. Pala, and F. J. Silva Mata. "Face Recognition by Matching 2D and 3D Geodesic Distances." In Multimedia Content Analysis and Mining. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73417-8_53.

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Soille, Pierre. "Generalized Geodesic Distances Applied to Interpolation and Shape Description." In Computational Imaging and Vision. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1040-2_25.

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Handrich, Sebastian, and Ayoub Al-Hamadi. "Upper-Body Pose Estimation Using Geodesic Distances and Skin-Color." In Advanced Concepts for Intelligent Vision Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02895-8_14.

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Estévez, Pablo A., Andrés M. Chong, Claudio M. Held, and Claudio A. Perez. "Nonlinear Projection Using Geodesic Distances and the Neural Gas Network." In Artificial Neural Networks – ICANN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11840817_49.

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Datar, Manasi, Ilwoo Lyu, SunHyung Kim, Joshua Cates, Martin A. Styner, and Ross Whitaker. "Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40763-5_3.

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Handrich, Sebastian, and Ayoub Al-Hamadi. "Full-Body Human Pose Estimation by Combining Geodesic Distances and 3D-Point Cloud Registration." In Advanced Concepts for Intelligent Vision Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25903-1_25.

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Bloch, Isabelle. "Fuzzy morphology and fuzzy distances: New definitions and links in both euclidean and geodesic cases." In Fuzzy Logic in Artificial Intelligence. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0095076.

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Hooijberg, Maarten. "Geodetic Arc Distances." In Practical Geodesy. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60584-0_4.

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Conference papers on the topic "Geodesic distances"

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Tekir, Selma, Florian Mansmann, and Daniel Keim. "Geodesic distances for web document clustering." In 2011 Ieee Symposium On Computational Intelligence And Data Mining - Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/cidm.2011.5949449.

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Li Yang. "Sammon's nonlinear mapping using geodesic distances." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1334180.

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Yu Cai, Yanjin Huang, and Shugong Zhang. "3D face recognition using weighted geodesic distances." In 2011 International Conference on Transportation and Mechanical & Electrical Engineering (TMEE). IEEE, 2011. http://dx.doi.org/10.1109/tmee.2011.6199695.

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Meng, Deyu, Zongben Xu, Nannan Gu, and Mingwei Dai. "Estimating geodesic distances on locally linear patches." In 2007 IEEE International Symposium on Signal Processing and Information Technology. IEEE, 2007. http://dx.doi.org/10.1109/isspit.2007.4458006.

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Góes, Daniel A., and Nelson D. A. Mascarenhas. "Low-Dose Computed Tomography Filtering Using Geodesic Distances." In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12983.

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Due to the concerns related to patient exposure to X-ray, the dosage used in computed tomography must be reduced (Low-dose Computed Tomography - LDCT). One of the effects of LDCT is the degradation in the quality of the final reconstructed image. In this work, we propose a method of filtering LDCT sinograms that are subject to signal-dependent Poisson noise. To filter this type of noise, we use a Bayesian approach, changing the Non-local Means (NLM) algorithm to use geodesic stochastic distances for Gamma distribution, the conjugate prior to Poisson, as a similarity metric between each project
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Edelstein, Michal, Nestor Guillen, Justin Solomon, and Mirela Ben-Chen. "A Convex Optimization Framework for Regularized Geodesic Distances." In SIGGRAPH '23: Special Interest Group on Computer Graphics and Interactive Techniques Conference. ACM, 2023. http://dx.doi.org/10.1145/3588432.3591523.

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Twining, C., S. Marsland, and C. Taylor. "Measuring Geodesic Distances on the Space of Bounded Diffeomorphisms." In British Machine Vision Conference 2002. British Machine Vision Association, 2002. http://dx.doi.org/10.5244/c.16.83.

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Oda, Takuya, Yuichi Itoh, Wataru Nakai, Katsuhiro Nomura, Yoshifumi Kitamura, and Fumio Kishino. "Interactive skeleton extraction for 3D animation using geodesic distances." In ACM SIGGRAPH 2006 Research posters. ACM Press, 2006. http://dx.doi.org/10.1145/1179622.1179632.

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Berretti, Stefano, Alberto Del Bimbo, Pietro Pala, and Francisco J. Silva Mata. "Geodesic Distances for 3D-3D and 2D-3D Face Recognition." In Multimedia and Expo, 2007 IEEE International Conference on. IEEE, 2007. http://dx.doi.org/10.1109/icme.2007.4284950.

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Ring, Dan, and François Pitie. "Feature-Assisted Sparse to Dense Motion Estimation Using Geodesic Distances." In 2009 13th International Machine Vision and Image Processing Conference. IEEE, 2009. http://dx.doi.org/10.1109/imvip.2009.9.

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Reports on the topic "Geodesic distances"

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Memoli, Facundo, and Guillermo Sapiro. Distance Functions and Geodesics on Points Clouds. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437158.

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Jin, Zheming. A Study of Geodesic Distance Kernel on an Integrated GPU. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1576565.

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Dudnikov, V. Yu. Electronic course for distance learning "Basics of geodesy and topography" (UGSN 21.00.00 "Applied geology, mining, oil and gas and geodesy"). Science and Innovation Center Publishing House, 2016. http://dx.doi.org/10.12731/dudnikov.11082016.22085.

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