IMPS : implicit surfaces for interactive animated characters by Russell, Kenneth B

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Implicit Surface Modeling from Imprecise Point Clouds by E. Funk, L. S. Dooley, A. Boerner, D. Griessbach

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Sat-Mesh: Learning Neural Implicit Surfaces for Multi-View Satellite Reconstruction by Yingjie Qu, Fei Deng

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Jacobian-based control of soft robots for manipulation using implicit surface models by Mirano, Geronimo (Geronimo J.)

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Three-dimensional geological implicit surface reconstruction based on intermediate contour morphological interpolation by Quan Wang, Yanhong Zou

“…To overcome it, in this paper, we propose a 3D geological implicit surface reconstruction method based on intermediate contour morphological interpolation at the maximum similarity. …”
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Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction by Wei Wang, Fengjiao Gao, Yongliang Shen

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Improved Compressive Properties of Lattice Structure Based on an Implicit Surface Hybrid Optimization Design Method via Selective Laser Melting by Xiong Xiao, Liangwen Xie, Rongyao Tang, Jiaan Liu, Peng Song, Xianyong Zhu, Jiali Zhao, Cheng Jiang, Song Yang, Peng Wu

“…These works can be used for other implicit surfaces, improve and enrich the types of implicit surfaces, and provide more good choices for practical applications.…”
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Learning Implicit Neural Representation for Satellite Object Mesh Reconstruction by Xi Yang, Mengqing Cao, Cong Li, Hua Zhao, Dong Yang

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Computation of Implicit Representation of Volumetric Shells with Predefined Thickness by Martin Geier, Hussein Alihussein

Subjects: “…implicit surface…”
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Detecting isometries and symmetries of implicit algebraic surfaces by Uğur Gözütok, Hüsnü Anıl Çoban

Subjects: “…implicit surfaces…”
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Velocity calculation of 2D geometric objects by use of surface interpolation in 3D by Yojiro MANDACHI, Shin USUKI, Kenjiro T. MIURA

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Combination Constraints of Multiple Fields for Implicit Modeling of Ore Bodies by De-Yun Zhong, Li-Guan Wang, Jin-Miao Wang

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A Two-Step Surface Reconstruction Method Using Signed Marching Cubes by Ju Zhang, Deyun Zhong, Liguan Wang

Subjects: “…implicit surface…”
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Repair of Geological Models Based on Multiple Material Marching Cubes by Benyu Li, Deyun Zhong, Liguan Wang

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An Accelerated Slicing Algorithm for Frep Models by Evgenii Maltsev, Dmitry Popov, Svyatoslav Chugunov, Alexander Pasko, Iskander Akhatov

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LIMOFilling: Local Information Guide Hole-Filling and Sharp Feature Recovery for Manifold Meshes by Guohua Gou, Haigang Sui, Dajun Li, Zhe Peng, Bingxuan Guo, Wei Yang, Duo Huang

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Adaptive Meshing Based on the Multi-level Partition of Unity and Dynamic Particle Systems for Medical Image Datasets by Zhong Chen, Zhiwei Hou, Quanquan Yang, Xiaobing Chen

“…The improved Multi-Level Partition of Unity (MPU) implicit functions are used to fit the point clouds for creating the implicit surface. Then, sampling implicit surface through dynamic particle systems based on Gaussian curvature, dense particles sampling in the high curvature region, sparse particles sampling in the low curvature region. …”
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Mesh Processing for Snapping Feature Points and Polylines in Orebody Modeling by Zhaopeng Li, Deyun Zhong, Liguan Wang, Qiwang Tang, Zhaohao Wu

“…However, due to the problems of ambiguity and missing features during implicit surface interpolation and implicit surface reconstruction, the mesh models of orebodies obtained by means of implicit modeling techniques do not easily snap to the geological feature points and feature polylines obtained based on geological sampling data. …”
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Research on improved level set image segmentation method by Mei Zhang, Dan Meng, Lingling Liu, Jinghua Wen

“…Aiming at the shortcomings of the traditional level set model which only has good robustness to the weak boundary and strong noise of the original target image, this paper proposes an improved algorithm based on the no-weight initialization level set model, introducing bilateral filters and using implicit surface level sets to extract and segment the original target image object more accurately, clearly and intuitively in the evolution process. …”
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Research on improved level set image segmentation method. by Mei Zhang, Dan Meng, Lingling Liu, Jinghua Wen

“…Aiming at the shortcomings of the traditional level set model which only has good robustness to the weak boundary and strong noise of the original target image, this paper proposes an improved algorithm based on the no-weight initialization level set model, introducing bilateral filters and using implicit surface level sets to extract and segment the original target image object more accurately, clearly and intuitively in the evolution process. …”
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