Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction-Reference-Cited by-同舟云学术

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Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction

Published:2021-10 Issue: Volume:99 Page:54-69
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Lombardi Marco,Savardi Mattia,Signoroni Alberto

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference74 articles.

1. Fully convolutional geometric features;Choy,2019

2. Deep learning;LeCun;Nature,2015

3. Learning to find good correspondences;Yi,2018

4. Geometric loss functions for camera pose regression with deep learning;Kendall,2017

5. Deep learning for 3d point clouds: a survey;Guo;IEEE Trans. Pattern Anal. Mach. Intell.,2020

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1. 3D spatial measurement for model reconstruction: A review;Measurement;2023-02

2. Partial Point Cloud Registration Via Soft Segmentation;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

3. DenseMatch: a dataset for real-time 3D reconstruction;Data in Brief;2021-12

4. Foreword to the Special Section on Smart Tool and Applications for Graphics (STAG 2020);Computers & Graphics;2021-12

5. Real-Time 3D Reconstruction Method Based on Monocular Vision;Sensors;2021-09-02

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