Results 31 to 40 of about 49,371 (261)
An adaptive implicit surface reconstruction method for three-dimensional point cloud
Dianzi Jishu Yingyong, 2019 Based on adaptive octree and improved differential evolution algorithm, an implicit surface reconstruction method for three-dimensional point cloud data is presented.Firstly, the original point cloud is adaptively segmented by octree. Secondly, the local
Jiang Meng, Cai Yong, Zhang Jiansheng
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A study of morphology of silicon with femtosecond laser based on phase field model
Materials Research Express, 2022 In this paper, phase field model is employed to simulate the process of femtosecond laser which irradiates on silicon surface. The numerical model is mainly used to study the micro/nano evolution process and the atomic diffusion motion of the system ...
Linan Zhang +5 more
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Advances in Mechanical Engineering, 2022 As a Lagrangian mesh free method, Moving Particle Semi-implicit (MPS) method can easily handle complex incompressible flow with free surface. However, some deficiencies of MPS method such as inaccurate results, unphysical pressure oscillation and ...
Date Li, Huaixin Zhang, Huilan Yao
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Control Modification of Grasp Force Covaries Agency and Performance on Rigid and Compliant Surfaces
Frontiers in Bioengineering and Biotechnology, 2021 This study investigated how modifications in the display of a computer trace under user control of grasp forces can co-modulate agency (perception of control) and performance of grasp on rigid and compliant surfaces.
Raviraj Nataraj +3 more
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Isotopic meshing of implicit surfaces [PDF]
The Visual Computer, 2006 Implicit surfaces are given as the zero set of a function F : R3→R. Although several algorithms exist for generating piecewise linear approximations, most of these are based on a user-defined stepsize or bounds to indicate the precision, and therefore cannot guarantee topological correctness. Interval arithmetic provides a mechanism to determine global
Simon Plantinga, Gert Vegter
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Smart Learning Environments, 2022 This paper explores potential ways of evaluating the implicit learning that may be present in autonomous smart learning activities and environments, reflecting on prior phenomenographic research into smart learning activities positioned as local journeys
Pen Lister
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Neural Implicit Surface Reconstruction Method Based on Multi-View Mixed Consistency Constraints [PDF]
Jisuanji gongchengMulti-view 3D reconstruction based on neural implicit surface learning includes inherent ambiguities in representing the geometric shape and appearance of complex objects.
ZHU Wenqian, SONG Lijuan, GUO Xinru, MA Zirui
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Neural 3D reconstruction from sparse views using geometric priors
Computational Visual Media, 2023 Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input views for accurate 3D reconstruction.
Tai-Jiang Mu +3 more
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MixNet: Mix different networks for learning 3D implicit representations
Graphical Models, 2023 We introduce a neural network, MixNet, for learning implicit representations of 3D subtle models with large smooth areas and exact shape details in the form of interpolation of two different implicit functions.
Bowen Lyu, Li-Yong Shen, Chun-Ming Yuan
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Buildings, 2022 Non-probabilistic reliability analysis has great developmental potential in the field of structural reliability analysis, as it is often difficult to obtain enough samples to construct an accurate probability distribution function of random variables ...
Qi Li, Junmu Wang, Guoshao Su
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