Results 231 to 240 of about 85,010 (268)
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Static Mesh Enrichment with Dynamic Entities for Training Sets Generation
2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP), 2023Bianca-Cerasela-Zelia Blaga +1 more
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Deformable mesh simulation for virtual laparoscopic cholecystectomy training
Visual Computer, 2014Virtual simulation of laparoscopic surgery is getting attention for training novice surgeons and medical residents for practice. Virtual surgical simulation has many advantages because it can provide users with a safe environment without animal or patient subjects.
Deukhee Lee +2 more
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Training PointNet for human point cloud segmentation with 3D meshes
Fifteenth International Conference on Quality Control by Artificial Vision, 2021PointNet, which enables end-to-end learning for scattered/unordered point data, is a popular neural network architecture. However, in many applications, large amounts of complete point clouds are hardly available for non-rigid objects such as the human body.
Takuma Ueshima +3 more
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A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation
2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018Mesh upsampling and morphing is a challenging problem due to the irregularity and sparseness of the 3D data. Unlike 2D grid of pixels, 3D points do not have any regular structure and spatial order. In this paper, we present an efficient mesh upsampling and morphing technique. The proposed technique does not not require training and does not rely on any
Mohammed Bennamoun, Syed Afaq Ali Shāh
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Dynamic Response of Planetary Trains to Mesh Parametric Excitations
Journal of Mechanical Design, 1996An extended three-dimensional model is used for calculating dynamic tooth loads on a planetary gear set. Time dependent mesh stiffnesses are determined and an original Ritz method aimed at solving large parametrically excited differential systems is proposed.
P. Velex, L. Flamand
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THOM: Generating Physically Plausible Hand-Object Meshes From Text
arXiv.orgGenerating photorealistic 3D hand-object interactions (HOIs) from text is important for applications like robotic grasping and AR/VR content creation. In practice, however, achieving both visual fidelity and physical plausibility remains difficult, as ...
Uyoung Jeong +4 more
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Numerical analysis on meshing friction characteristics of nano-gear train
Tribology International, 2008The objective of this research work is to provide a systematic method to perform molecular dynamics simulation or evaluation for meshing friction properties approach of micro/nano-gear train in MEMS. A model for meshing friction of micro/nano-gear train is proposed by using molecular dynamics based on investigation about a pair of meshing nano-teeth ...
Ping Yang, Huazhong Zhang
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Dynamic Analysis of a Multi-Mesh Helical Gear Train
6th International Power Transmission and Gearing Conference: Advancing Power Transmission Into the 21st Century, 1992Abstract In this paper, the dynamic behavior of a multi-mesh helical gear train is studied. The gear train consists of three helical gears, with one of the gears in mesh with the other two. An 18-degree-of-freedom dynamic model which includes transverse, torsional, axial and rotational (rocking) motions of the flexibly mounted gears is ...
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Improvement of Mesh Free Deforming Analysis for Maxillofacial Palpation on a Virtual Training System
2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), 2016Palpation is important medical diagnostic technic to make correct diagnosis of symptomatic state. It requires a lot of palpation experience under leadership of an experienced medical doctor. Hence, a palpation training system with virtual model of an affected part is useful to get better at the skill.
Kazunori Yoshiura +2 more
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Parallel training of neural networks for finite element mesh decomposition
Computers & Structures, 1997Abstract This paper describes a parallel processing implementation for neural computing and its application to finite element mesh decomposition. The parallelized neural network software developed is based on the public domain NASA developed program NETS 2.01, which is based on the back propagation algorithm of Rumelhart et al .
Topping, B. H. V. +2 more
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