Academic literature on the topic 'Signed Distance Functions'
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Journal articles on the topic "Signed Distance Functions"
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.
Full textEsedog¯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.
Full textLuo, 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.
Full textFayolle, 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.
Full textZollhöfer, 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.
Full textVicini, 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.
Full textJiang, 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.
Full textWegen, 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.
Full textKoch, 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.
Full textPark, 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.
Full textDissertations / Theses on the topic "Signed Distance Functions"
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.
Full textHansson, 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.
Full textBengtsson, Morgan. "Indoor 3D Mapping using Kinect." Thesis, Linköpings universitet, Datorseende, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106145.
Full textRundgren, 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.
Full textSouza, 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.
Full textRolo, 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.
Full textBéthune, Louis. "Apprentissage profond avec contraintes Lipschitz." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES014.
Full textSu, Po-Chang. "A ROBUST RGB-D SLAM SYSTEM FOR 3D ENVIRONMENT WITH PLANAR SURFACES." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/17.
Full textMichailidis, 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.
Full textBartoli, 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/.
Full textBooks on the topic "Signed Distance Functions"
Mann, Peter. Matrices. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0031.
Full textBook chapters on the topic "Signed Distance Functions"
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.
Full textOsher, 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.
Full textCavallari, 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.
Full textMahmoodi, 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.
Full textZhang, 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.
Full textBogensperger, 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.
Full textLi, 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.
Full textOuasfi, 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.
Full textLiu, 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.
Full textWerner, 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.
Full textConference papers on the topic "Signed Distance Functions"
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.
Full textKim, 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.
Full textQuintero-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.
Full textSemrau, 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.
Full textZobeidi, 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.
Full textHoshida, 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.
Full textXie, 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.
Full textSawada, 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.
Full textHaugo, 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.
Full textBrissman, 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.
Full textReports on the topic "Signed Distance Functions"
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.
Full textKuznetsov, 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.
Full textEpel, 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.
Full textAlchanatis, 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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