光场相机三维重建研究进展与展望
Progress and Prospect of 3D Reconstruction Based on Light Field Cameras
查看参考文献103篇
文摘
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光场相机利用二维影像同时记录空间中光线的位置和方向信息,能够恢复相机内部的光场,为三维重建提供了新的解决思路.围绕光场相机的三维重建问题,本文综述了光场数据获取手段,梳理和讨论了针对光场相机的标定算法,总结和分析了基于光场影像的三维深度信息恢复方法.在此基础上,介绍了当前主要的公开光场数据和算法.最后,展望了未来的研究方向,以期为后续研究者提供参考. |
其他语种文摘
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Light field cameras use two-dimensional images to simultaneously record the position and direction information of light in space, which can restore the light field inside the camera and provide a new solution for three-dimensional reconstruction. Focusing on the 3D reconstruction of light field cameras, this paper summarizes the light field acquisition methods, sorts out and discusses the calibration algorithms for light field cameras; then summarizes and analyzes the 3D depth information recovery methods based on light field images. In addition, the primary open-source datasets and algorithms related to light fields are introduced. Finally, the future research directions are elaborated to provide references for subsequent researchers. |
来源
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电子学报
,2022,50(7):1774-1792 【核心库】
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DOI
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10.12263/DZXB.20211615
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关键词
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光场相机
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三维重建
;
光场采集
;
相机标定
;
深度估计
;
公开光场资源
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地址
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中国测绘科学研究院摄影测量与遥感研究所, 北京, 100036
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语种
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中文 |
文献类型
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综述型 |
ISSN
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0372-2112 |
学科
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自动化技术、计算机技术 |
基金
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中国测绘科学研究院基本科研业务费
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文献收藏号
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CSCD:7272173
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参考文献 共
103
共6页
|
1.
王之卓.
摄影测量原理,1990
|
CSCD被引
25
次
|
|
|
|
2.
张祖勋. 数字摄影测量发展的机遇与挑战.
武汉测绘科技大学学报,2000,25(1):7-11
|
CSCD被引
14
次
|
|
|
|
3.
Nex F. UAV for 3D mapping applications: A review.
Applied Geomatics,2014,6(1):1-15
|
CSCD被引
37
次
|
|
|
|
4.
Bruno F. From 3D reconstruction to virtual reality: A complete methodology for digital archaeological exhibition.
Journal of Cultural Heritage,2010,11(1):42-49
|
CSCD被引
8
次
|
|
|
|
5.
Yang M D. Image-based 3D scene reconstruction and exploration in augmented reality.
Automation in Construction,2013,33:48-60
|
CSCD被引
4
次
|
|
|
|
6.
Nuchter A. Automatic model refinement for 3D reconstruction with mobile robots.
Fourth International Conference on 3-D Digital Imaging and Modeling,2003.3DIM 2003,2003:394-401
|
CSCD被引
1
次
|
|
|
|
7.
Song L M. Structured-light based 3D reconstruction system for cultural relic packaging.
Sensors,2018,18(9):2981
|
CSCD被引
2
次
|
|
|
|
8.
Jiang D L. Efficient 3D reconstruction for face recognition.
Pattern Recognition,2005,38(6):787-798
|
CSCD被引
24
次
|
|
|
|
9.
Khan U. A methodological review of 3D reconstruction techniques in tomographic imaging.
Journal of Medical Systems,2018,42(10):190
|
CSCD被引
3
次
|
|
|
|
10.
Klein G. Parallel tracking and mapping for small AR workspaces.
2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality,2007:225-234
|
CSCD被引
29
次
|
|
|
|
11.
Davison A J. MonoSLAM: Real-time single camera SLAM.
IEEE Transactions on Pattern Analysis and Machine Intelligence,2007,29(6):1052-1067
|
CSCD被引
230
次
|
|
|
|
12.
Mur-Artal R. ORB-SLAM: A versatile and accurate monocular SLAM system.
IEEE Transactions on Robotics,2015,31(5):1147-1163
|
CSCD被引
483
次
|
|
|
|
13.
Mur-Artal R. ORB-SLAM2: An opensource SLAM system for monocular, stereo, and RGB-D cameras.
IEEE Transactions on Robotics,2017,33(5):1255-1262
|
CSCD被引
461
次
|
|
|
|
14.
Campos C. ORB-SLAM3: An accurate open-source library for visual, visual-inertial, and multimap SLAM.
IEEE Transactions on Robotics,2021,37(6):1874-1890
|
CSCD被引
123
次
|
|
|
|
15.
Hess W. Real-time loop closure in 2D LIDAR SLAM.
2016 IEEE International Conference on Robotics and Automation,2016:1271-1278
|
CSCD被引
7
次
|
|
|
|
16.
Zhang J. LOAM: Lidar odometry and mapping in real-time.
Robotics: Science and Systems. 2(9),2014:1-9
|
CSCD被引
1
次
|
|
|
|
17.
Ye H Y. Tightly coupled 3D lidar inertial odometry and mapping.
2019 International Conference on Robotics and Automation(ICRA),2019:3144-3150
|
CSCD被引
1
次
|
|
|
|
18.
Koide K. A portable threedimensional LIDAR-based system for long-term and wide-area people behavior measurement.
International Journal of Advanced Robotic Systems,2019,16(2):1729881419841532
|
CSCD被引
17
次
|
|
|
|
19.
Xu W. FAST-LIO: A fast, robust LiDAR-inertial odometry package by tightly-coupled iterated Kalman filter.
IEEE Robotics and Automation Letters,2021,6(2):3317-3324
|
CSCD被引
27
次
|
|
|
|
20.
Chen X. SuMa++: Efficient LiDAR-based semantic SLAM.
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS),2019:4530-4537
|
CSCD被引
1
次
|
|
|
|
|