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Thematische Bibliographien / Signed Distance Functions

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Zeitschriftenartikel
Dissertationen
Bücher
Buchteile
Konferenzberichte
Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Signed Distance Functions“

Autor: Grafiati

Veröffentlicht am 29. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Signed Distance Functions"

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Bálint, Csaba, Gábor Valasek, and Lajos Gergó. "Operations on Signed Distance Functions." Acta Cybernetica 24, no. 1 (2019): 17–28. http://dx.doi.org/10.14232/actacyb.24.1.2019.3.

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We present a theoretical overview of signed distance functions and analyze how this representation changes when applying an offset transformation. First, we analyze the properties of signed distance and the sets they describe. Second, we introduce our main theorem regarding the distance to an offset set in (X,||.||) strictly normed Banach spaces. An offset set of D in X is the set of points equidistant to D. We show when such a set can be represented by f(x)-c=0, where c denotes the radius of the offset. Finally, we explain these results for applications that offset signed distance funct

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Esedog¯lu, Selim, Steven Ruuth, and Richard Tsai. "Diffusion generated motion using signed distance functions." Journal of Computational Physics 229, no. 4 (2010): 1017–42. http://dx.doi.org/10.1016/j.jcp.2009.10.002.

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3

Luo, Honglin, Xianfu Wang, and Brett Lukens. "Variational Analysis on the Signed Distance Functions." Journal of Optimization Theory and Applications 180, no. 3 (2018): 751–74. http://dx.doi.org/10.1007/s10957-018-1414-2.

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4

Fayolle, Pierre-Alain, Alexander Pasko, Benjamin Schmitt, and Nikolay Mirenkov. "Constructive Heterogeneous Object Modeling Using Signed Approximate Real Distance Functions." Journal of Computing and Information Science in Engineering 6, no. 3 (2005): 221–29. http://dx.doi.org/10.1115/1.2218366.

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We introduce a smooth approximation of the min∕max operations, called signed approximate real distance function (SARDF), for maintaining an approximate signed distance function in constructive shape modeling. We apply constructive distance-based shape modeling to design objects with heterogeneous material distribution in the constructive hypervolume model framework. The introduced distance approximation helps intuitively model material distributions parametrized by distances to so-called material features. The smoothness of the material functions, provided here by the smoothness of the definin

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Zollhöfer, Michael, Angela Dai, Matthias Innmann, et al. "Shading-based refinement on volumetric signed distance functions." ACM Transactions on Graphics 34, no. 4 (2015): 1–14. http://dx.doi.org/10.1145/2766887.

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Vicini, Delio, Sébastien Speierer, and Wenzel Jakob. "Differentiable signed distance function rendering." ACM Transactions on Graphics 41, no. 4 (2022): 1–18. http://dx.doi.org/10.1145/3528223.3530139.

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Physically-based differentiable rendering has recently emerged as an attractive new technique for solving inverse problems that recover complete 3D scene representations from images. The inversion of shape parameters is of particular interest but also poses severe challenges: shapes are intertwined with visibility, whose discontinuous nature introduces severe bias in computed derivatives unless costly precautions are taken. Shape representations like triangle meshes suffer from additional difficulties, since the continuous optimization of mesh parameters cannot introduce topological changes. O

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Jiang, Sijia, Tong Wu, Jing Hua, and Zhizhong Han. "Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 4066–74. https://doi.org/10.1609/aaai.v39i4.32426.

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It is vital to recover 3D geometry from multi-view RGB images in many 3D computer vision tasks. The latest methods infer the geometry represented as a signed distance field by minimizing the rendering error on the field through volume rendering. However, it is still challenging to explicitly impose constraints on surfaces for inferring more geometry details due to the limited ability of sensing surfaces in volume rendering. To resolve this problem, we introduce a method to infer signed distance functions (SDFs) with a better sense of surfaces through volume rendering. Using the gradients and s

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Wegen, Ole, Jürgen Döllner, and Matthias Trapp. "Interactive Editing of Voxel-Based Signed Distance Fields." Journal of WSCG 30, no. 1-2 (2022): 72–81. http://dx.doi.org/10.24132/jwscg.2022.9.

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Signed distance functions computed in discrete form from given RGB-D data as regular voxel grids can represent manifold shapes as the zero crossing of a trivariate function; the corresponding meshes can be derived by the Marching Cubes algorithm. However, 3D models automatically reconstructed in this way often contain irrelevant objects or artifacts, such as holes or noise, due to erroneous scan data and error-prone reconstruction processes. This paper presents an approach for interactive editing of signed distance functions, derived from RGB-D data in the form of regular voxel grids, that ena

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Koch, Philipp, Stefan May, Michael Schmidpeter, et al. "Multi-Robot Localization and Mapping Based on Signed Distance Functions." Journal of Intelligent & Robotic Systems 83, no. 3-4 (2016): 409–28. http://dx.doi.org/10.1007/s10846-016-0375-7.

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Park, Sangkun. "Infinite Generation of 3D Voxel Terrain using Signed Distance Functions." Korean Journal of Computational Design and Engineering 28, no. 4 (2023): 357–65. http://dx.doi.org/10.7315/cde.2023.357.

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Dissertationen zum Thema "Signed Distance Functions"

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Laney, Daniel Edward. "Surface visualization and compression with signed-distance functions /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.

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Hansson, Söderlund Herman. "Hardware-Accelerated Ray Tracing of Implicit Surfaces : A study of real-time editing and rendering of implicit surfaces." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21764.

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Background. Rasterization of triangle geometry has been the dominating rendering technique in the real-time rendering industry for many years. However, triangles are not always easy to work with for content creators. With the introduction of hardware-accelerated ray tracing, rasterization-based lighting techniques have been steadily replaced by ray tracing techniques. This shift may signify the opportunity of exploring other, more easily manipulated, geometry-type alternatives compared to triangle geometry. One such geometry type is implicit surfaces. Objectives. This thesis investigates the r

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Bengtsson, Morgan. "Indoor 3D Mapping using Kinect." Thesis, Linköpings universitet, Datorseende, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106145.

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In recent years several depth cameras have emerged on the consumer market, creating many interesting possibilities forboth professional and recreational usage. One example of such a camera is the Microsoft Kinect sensor originally usedwith the Microsoft Xbox 360 game console. In this master thesis a system is presented that utilizes this device in order to create an as accurate as possible 3D reconstruction of an indoor environment. The major novelty of the presented system is the data structure based on signed distance fields and voxel octrees used to represent the observed environment.<br>Un

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Rundgren, Emil. "Automatic Volume Estimation of Timber from Multi-View Stereo 3D Reconstruction." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142513.

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The ability to automatically estimate the volume of timber is becoming increasingly important within the timber industry. The large number of timber trucks arriving each day at Swedish timber terminals fortifies the need for a volume estimation performed in real-time and on-the-go as the trucks arrive. This thesis investigates if a volumetric integration of disparity maps acquired from a Multi-View Stereo (MVS) system is a suitable approach for automatic volume estimation of timber loads. As real-time execution is preferred, efforts were made to provide a scalable method. The proposed method w

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Souza, Ricardo Radtke de. "Modelagem geológica implícita através de simulações de funções distância assinaladas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/172276.

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Antes de se fazer uma estimativa ou uma simulação geoestatística, os domínios geológicos devem ser modelados de forma que cada domínio utilize apenas dados que pertencem a ele. Na industria mineral a incerteza oriunda dos teores geralmente é levada em consideração, entretanto a incerteza gerada pelo modelo nem sempre é analisada. Sabendo que a maior fonte de incerteza está na transição de uma litologia para outra, essa dissertação visa avaliar a incerteza do modelo geológico através de simulações de funções distâncias assinaladas em zonas de maior incerteza, gerando vários modelos com diferent

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Rolo, Roberto Mentzingen. "Modelagem geológica implícita com funções distância assinaladas." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/163406.

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Previamente à cada estimativa ou simulação geoestatística os domínios geológicos do depósito devem ser modelados, o que tradicionalmente é feito de forma manual por um geomodelador, em um processo laborioso, demorado e subjetivo. Por essa razão novas técnicas conhecidas como métodos implícitos veem surgindo. Essas técnicas fornecem algoritmos que substituem o processo de digitalização manual dos métodos explícitos por alguma forma de procedimento automático. Essa dissertação visita alguns métodos implícitos bem estabelecidos com atenção especial à modelagem geológica implícita com funções dist

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Béthune, Louis. "Apprentissage profond avec contraintes Lipschitz." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES014.

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Cette thèse explore les caractéristiques et les applications des réseaux Lipschitz dans les tâches d'apprentissage automatique. Tout d'abord, le cadre de "l'optimisation en tant que couche" est présenté, mettant en avant diverses applications, notamment la paramétrisation des couches contraintes Lipschitz. Ensuite, l'expressivité de ces réseaux dans les tâches de classification est étudiée, révélant un compromis précision/robustesse contrôlé par la régularisation entropique de la perte, accompagnée de garanties de généralisation. Par la suite, la recherche se penche sur l'utilisation des fonct

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Su, Po-Chang. "A ROBUST RGB-D SLAM SYSTEM FOR 3D ENVIRONMENT WITH PLANAR SURFACES." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/17.

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Simultaneous localization and mapping is the technique to construct a 3D map of unknown environment. With the increasing popularity of RGB-depth (RGB-D) sensors such as the Microsoft Kinect, there have been much research on capturing and reconstructing 3D environments using a movable RGB-D sensor. The key process behind these kinds of simultaneous location and mapping (SLAM) systems is the iterative closest point or ICP algorithm, which is an iterative algorithm that can estimate the rigid movement of the camera based on the captured 3D point clouds. While ICP is a well-studied algorithm, it i

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Michailidis, Georgios. "Manufacturing Constraints and Multi-Phase Shape and Topology Optimization via a Level-Set Method." Phd thesis, Ecole Polytechnique X, 2014. http://pastel.archives-ouvertes.fr/pastel-00937306.

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The main contribution of this thesis is the implementation of manufacturing constraints in shape and topology optimization. Fabrication limitations related to the casting process are formulated as mathematical constraints and introduced in the optimization algorithm. In addition, based on the same theoretical and modelization tools, we propose a novel formulation for multi-phase optimization problems, which can be extended to the optimization of structures with functionally-graded properties. A key ingredient for the mathematical formulation of most problems throughout our work is the notion o

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Bartoli, Simone. "Deploying deep learning for 3D reconstruction from monocular video sequences." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22402/.

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3D reconstruction from monocular video sequences is a field of increasingly interest in the late years. Before the growth of deep learning, the retrieve of depth information from single images was possible only with RGBD sensors or algorithmic approaches. However, the availability of more and more data has allowed the training of monocular depth estimation neural networks, introducing innovative data-driven techniques. Since recovering ground-truth labels for depth estimation is very challenging, most of the research has focused on unsupervised or semi-supervised training approaches. The curre

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Bücher zum Thema "Signed Distance Functions"

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Mann, Peter. Matrices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0031.

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This chapter looks at the calculus of a function of two or more variables, which is the subject of partial differentiation. The partial derivative of a function is the rate of change of the function with respect to the distance in the direction of a particular coordinate axis and is symbolised with the sign ∂. The chapter spends time on the implicit function theorem, since it is relied upon heavily elsewhere in the text. Lagrange multipliers are used to solve constrained optimisation problems. Topics include critical points, the product rule, the chain rule, directional derivatives, hypersurfa

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Buchteile zum Thema "Signed Distance Functions"

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Osher, Stanley, and Ronald Fedkiw. "Signed Distance Functions." In Applied Mathematical Sciences. Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22746-6_2.

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Osher, Stanley, and Ronald Fedkiw. "Constructing Signed Distance Functions." In Applied Mathematical Sciences. Springer New York, 2003. http://dx.doi.org/10.1007/0-387-22746-6_7.

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Cavallari, Tommaso, and Luigi Di Stefano. "Volume-Based Semantic Labeling with Signed Distance Functions." In Image and Video Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29451-3_43.

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Mahmoodi, Sasan, Muayed S. Al-Huseiny, and Mark S. Nixon. "Similarity Registration for Shapes Based on Signed Distance Functions." In Advances in Visual Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33179-4_57.

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Zhang, Leida, Zhengda Lu, Kai Liu, and Yiqun Wang. "SDFReg: Learning Signed Distance Functions for Point Cloud Registration." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8508-7_38.

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Bogensperger, Lea, Dominik Narnhofer, Filip Ilic, and Thomas Pock. "Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54605-1_1.

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Li, Shengtao, Ge Gao, Yudong Liu, Ming Gu, and Yu-Shen Liu. "Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72658-3_14.

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Ouasfi, Amine, and Adnane Boukhayma. "Few ‘Zero Level Set’-Shot Learning of Shape Signed Distance Functions in Feature Space." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19824-3_33.

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Liu, Longdu, Hao Yu, Shiqing Xin, et al. "Direct Extraction of High-Quality and Feature-Preserving Triangle Meshes from Signed Distance Functions." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-5812-1_7.

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Werner, Diana, Ayoub Al-Hamadi, and Philipp Werner. "Truncated Signed Distance Function: Experiments on Voxel Size." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11755-3_40.

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Konferenzberichte zum Thema "Signed Distance Functions"

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Esposito, Salvatore, Qingshan Xu, Kacper Kania, et al. "GeoGen: Geometry-Aware Generative Modeling via Signed Distance Functions." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00743.

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Kim, Hakyeong, Andreas Meuleman, Hyeonjoong Jang, James Tompkin, and Min H. Kim. "OmniSDF: Scene Reconstruction Using Omnidirectional Signed Distance Functions and Adaptive Binoctrees." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01912.

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Quintero-Peña, Carlos, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, and Lydia E. Kavraki. "Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610773.

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Semrau, Anna, and Dariusz Sawicki. "Reconstruction of the Botanical Trees from Single-View Images Using Signed Distance Functions." In 20th International Conference on Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013335300003912.

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Zobeidi, Ehsan, and Nikolay Atanasov. "A Deep Signed Directional Distance Function for Shape Representation." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801713.

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Hoshida, Takeshi, Ryu Shinzaki, Motohiko Eto, et al. "Advanced Multi-Span Signal Monitoring Using Digital Coherent Receivers." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.tu3i.5.

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We present end-to-end monitoring techniques for wavelength paths that visualize optical parameters such as power, polarization-dependent loss and polarization fluctuation as functions of distance in multi-span transmission links with advanced signal processing in optical transceivers.

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Xie, Chengxiang, Qihang Chen, Sutthiphong Srigrarom, and Boo Cheong Khoo. "3D Construction of the Environment Using RGBD Camera Based on Structure from Motion and Truncated Signed Distance Function." In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2024. https://doi.org/10.1109/robio64047.2024.10907653.

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Sawada, Daiki, and Masahiro Yukawa. "Robust Adaptive Filtering Based on Adaptive Projected Subgradient Method: Moreau Enhancement of Distance Function." In 2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2024. https://doi.org/10.1109/apsipaasc63619.2025.10849328.

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Haugo, Simen, Annette Stahl, and Edmund Brekke. "Continuous Signed Distance Functions for 3D Vision." In 2017 International Conference on 3D Vision (3DV). IEEE, 2017. http://dx.doi.org/10.1109/3dv.2017.00023.

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Brissman, Emil, Joakim Johnander, and Michael Felsberg. "Predicting Signed Distance Functions for Visual Instance Segmentation." In 2021 Swedish Artificial Intelligence Society Workshop (SAIS). IEEE, 2021. http://dx.doi.org/10.1109/sais53221.2021.9484039.

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Berichte der Organisationen zum Thema "Signed Distance Functions"

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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature

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Kuznetsov, Victor, Vladislav Litvinenko, Egor Bykov, and Vadim Lukin. A program for determining the area of the object entering the IR sensor grid, as well as determining the dynamic characteristics. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/bykov.0415.15042021.

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Currently, to evaluate the dynamic characteristics of objects, quite a large number of devices are used in the form of chronographs, which consist of various optical, thermal and laser sensors. Among the problems of these devices, the following can be distinguished: the lack of recording of the received data; the inaccessibility of taking into account the trajectory of the object flying in the sensor area, as well as taking into consideration the trajectory of the object during the approach to the device frame. The signal received from the infrared sensors is recorded in a separate document in

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Epel, Bernard L., Roger N. Beachy, A. Katz, et al. Isolation and Characterization of Plasmodesmata Components by Association with Tobacco Mosaic Virus Movement Proteins Fused with the Green Fluorescent Protein from Aequorea victoria. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573996.bard.

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The coordination and regulation of growth and development in multicellular organisms is dependent, in part, on the controlled short and long-distance transport of signaling molecule: In plants, symplastic communication is provided by trans-wall co-axial membranous tunnels termed plasmodesmata (Pd). Plant viruses spread cell-to-cell by altering Pd. This movement scenario necessitates a targeting mechanism that delivers the virus to a Pd and a transport mechanism to move the virion or viral nucleic acid through the Pd channel. The identity of host proteins with which MP interacts, the mechanism

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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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