A novel three-dimensional surface reconstruction method for the complex fabrics based on the MVS-Reference-Cited by-同舟云学术

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A novel three-dimensional surface reconstruction method for the complex fabrics based on the MVS

Published:2020-11 Issue: Volume:131 Page:106415
ISSN:0030-3992
Container-title:Optics & Laser Technology
language:en
Short-container-title:Optics & Laser Technology

Author:

Wang Yiliang,Deng Na,Xin Binjie,Wang Wenzhen,Xing Wenyu,Lu Shuaigang

Funder

Shanghai Natural Science Foundation

Natural Science Foundation of China

Zhihong Talent Project of SUES

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference36 articles.

1. Discussion on remote quality inspection system for digital evaluation of textile appearance;Binjie;J. Textile Res.,2011

2. Evaluating wrinkled fabrics with image analysis and NeuralNetworks;Mori;Text. Res. J.,2002

3. Automatic classification of seam pucker images based on ordinal quality grades;Mariolis;Pattern Anal. Appl.,2013

4. Automatic recognition of woven fabric pattern based on image processing and BP neural network;Pan;J. Textile Inst.,2011

5. Fabric wrinkle characterization and classification using modified wavelet coefficients and support-vector-machine classifiers;Sun;Text. Res. J.,2011

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1. A self-supervised learning framework based on physics-informed and convolutional neural networks to identify local anisotropic permeability tensor from textiles 2D images for filling pattern prediction;Composites Part A: Applied Science and Manufacturing;2024-04

2. A novel three-dimensional surface reconstruction method for fabric appearance evaluation;The Journal of The Textile Institute;2023-12-19

3. Density Measurement of High-Tightness Woven Fabric using Variation of Field of View Stereo Photometry Method;2023 8th International Conference on Instrumentation, Control, and Automation (ICA);2023-08-09

4. Scene Reconstruction Algorithm for Unstructured Weak-Texture Regions Based on Stereo Vision;Applied Sciences;2023-05-24

5. Evaluation of Photogrammetry Tools following Progress Detection of Rebar towards Sustainable Construction Processes;Sustainability;2022-12-20

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