Search三维重建returned 12 results

---

1

Dual-channel translation Fusion network for reconstructing three-dimensional spinal models from biplane radiographs

双通道转义融合网络实现双平面X线片重建脊柱三维模型

Ling Jianhang

Zhang Junhua

three-dimensional reconstruction

scoliosis

radiographs

convolution

three-dimensional deconvolution

Accepted Paper No. 4, 2025 : doi:10.19734/j.issn.1001-3695.2024.07.0272

2

Global optimization of visual SLAM based on neural radiation fields

基于神经辐射场的视觉SLAM全局优化方法

Zhou Zhiyuan

Zhou Fei

Zhang Yutong

Xie Yuanyuan

neural radiation fields

simultaneous localization and Mapping

3d reconstruction

loop closure

global BA

Accepted Paper No. 4, 2025 : doi:10.19734/j.issn.1001-3695.2024.06.0274

3

Blurry multi-view 3D reconstruction based on neural implicit field

基于神经隐式场的模糊多视图三维重建

Xu Zihui

Wang Yiqun

neural implicit surfaces

blurry multi-view images

3D reconstruction

No. 2, 2025 : 606-611 doi:10.19734/j.issn.1001-3695.2024.03.0166

4

Single-view 3D point cloud reconstruction algorithm based on priori knowledge

基于先验知识的单视图三维点云重建算法研究

Chen Yali

Li Haisheng

Wang Xiaochuan

Li Nan

point cloud

3D reconstruction

deep learning

prior knowledge

differentiable projection module

No. 10, 2023 : 3168-3172 doi:10.19734/j.issn.1001-3695.2022.12.0833

5

Adaptive aggregation and depth refinement multi-view stereo network

基于自适应聚合与深度优化的三维重建算法

Zheng Mipei

Zhao Mingfu

Xing Bin

Song Tao

Xing Ying

3D reconstruction

adaptive aggregation

spatial propagation network

depth map

No. 5, 2023 : 1595-1600 doi:10.19734/j.issn.1001-3695.2022.08.0440

6

3D reconstruction and encryption scheme of CT images based on improved MC algorithm and fractional-order chaos

基于改进MC算法和分数阶混沌的CT图像三维重建和加密方案

Zeng Ping

Wang Bingqing

Zhao Geng

Ma Yingjie

3D reconstruction

fractional order chaos

CT images

encryption

No. 1, 2023 : 263-267 doi:10.19734/j.issn.1001-3695.2022.04.0263

7

3D reconstruction network based on multi-scale CNN-RNN

基于多尺度CNN-RNN的单图三维重建网络

Zhang Ji

Zheng Chuanzhe

3D reconstruction

deep learning

multiscale features

RNN

No. 11, 2020 : 3487-3491 doi:10.19734/j.issn.1001-3695.2019.08.0251

8

Research of deep learning based 3D skeleton model reconstruction method from human motion sketch

基于深度学习的人体动作草图到三维骨骼模型重建方法的研究

Ma Hao

Li Shuqin

Ding Meng

deep learning

convolutional neural network(CNN)

3D reconstruction

image classification

sketch-based modeling technology

No. 6, 2020 : 1867-1870 doi:10.19734/j.issn.1001-3695.2018.11.0921

9

Defective hole identification and hole-filling for 3D reconstruction mesh models

三维重建网格模型的缺陷孔洞识别与修复方法

Wen Peizhi

Lei Yongqing

Sun Menglong

3D reconstruction

hole identification

hole-filling

detail-preserving

feature lines

anisotropy

No. 4, 2020 : 1234-1238 doi:10.19734/j.issn.1001-3695.2018.09.0773

10

Optimized loop closure detection algorithm based on Faster-RCNN

基于Faster-RCNN的回环检测优化算法

Xu Jianpeng

Bu Fanliang

three-dimensional reconstruction

simultaneous localization and mapping

loop closure detection

neural network

bag-of-words

optimized algorithm

No. 12, 2019 : 3628-3631 doi:10.19734/j.issn.1001-3695.2018.08.0602

11

Feature point processing and position recovery optimization algorithm in 3D reconstruction system

三维重建系统下的特征点处理与位姿恢复优化算法

Xu Jianpeng

Bu Fanliang

three-dimensional reconstruction

feature points

artificial neural networks

pose recovery

nonlinear optimization

No. 10, 2019 : 3196-3200 doi:10.19734/j.issn.1001-3695.2018.05.0359

12

Quasi-dense matching based on scale invariant Harris feature

基于尺度不变Harris特征的准稠密匹配算法

Sun Huichao

Hui Bin

Chang Zheng

scale-invariant Harris feature

quasi-dense matching

local non-maximal suppression

3D reconstruction

No. 4, 2019 : 1252-1255 doi:10.19734/j.issn.1001-3695.2017.11.0773