High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion [PDF]
SensorsIn this paper, we investigate implicit surface reconstruction methods based on deep learning, enhanced by multi-sensor data fusion, to improve the accuracy of 3D reconstruction in complex scenes.
Quanchen Zhou +3 more
doaj +2 more sources
Joint stereo 3D object detection and implicit surface reconstruction [PDF]
Scientific ReportsWe present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid shapes from stereo RGB images.
Shichao Li +3 more
doaj +2 more sources
Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction [PDF]
SensorsSurface reconstruction using neural networks has proven effective in reconstructing dense 3D surfaces through image-based neural rendering. Nevertheless, current methods are challenging when dealing with the intricate details of large-scale scenes.
Wei Wang, Fengjiao Gao, Yongliang Shen
doaj +2 more sources
Inverse design mechanical metamaterials with dual load-bearing and heat-transfer capabilities. [PDF]
PLoS ONEMetamaterials can achieve extraordinary properties unattainable in natural materials through sophisticated artificial structural design. This study constructs novel tri-periodic minimal surface configurations based on fundamental structures. By employing
Yuhao Liu
doaj +2 more sources
Learning Implicit Neural Representation for Satellite Object Mesh Reconstruction
Remote Sensing, 2023 Constructing a surface representation from the sparse point cloud of a satellite is an important task for satellite on-orbit services such as satellite docking and maintenance.
Xi Yang +4 more
doaj +1 more source
Combination Constraints of Multiple Fields for Implicit Modeling of Ore Bodies
Applied Sciences, 2021 In this paper, we introduce combination constraints for modeling ore bodies based on multiple implicit fields interpolation. The basic idea of the method is to define a multi-labeled implicit function that combines different sub-implicit fields by the ...
De-Yun Zhong +2 more
doaj +1 more source
Toward the Assessment of Intrinsic Geometry of Implicit Brain MRI Manifolds
IEEE Access, 2021 Principal and Gaussian curvatures are commonly used intrinsic metrics for geometric morphometrics analysis: to assess morphometric changes in brain geometry (developmental neuroimaging studies), to quantify shape deformation (organ motion assessment), or
Karim Makki +2 more
doaj +1 more source
Computation of Implicit Representation of Volumetric Shells with Predefined Thickness
Algorithms, 2021 We propose and validate a method to find an implicit representation of a surface placed at a distance h from another implicit surface. With two such surfaces on either side of the original surface, a volumetric shell of predefined thickness can be ...
Martin Geier, Hussein Alihussein
doaj +1 more source
An Accelerated Slicing Algorithm for Frep Models
Applied Sciences, 2021 Complex 3D objects with microstructures can be modelled using the function representation (FRep) approach and then manufactured. The task of modelling a geometric object with a sophisticated microstructure based on unit cell repetition is often too ...
Evgenii Maltsev +4 more
doaj +1 more source
A Two-Step Surface Reconstruction Method Using Signed Marching Cubes
Applied Sciences, 2022 In this paper, we explore a new approach, a two-step surface reconstruction method to extract the target isosurface from a given implicit function efficiently.
Ju Zhang, Deyun Zhong, Liguan Wang
doaj +1 more source