Camera-Agnostic Monocular SLAM and Semi-dense 3D Reconstruction

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/978-3-319-45886-1_23 ◽

2016 ◽

pp. 285-296

Author(s):

Martin Rünz ◽

Frank Neuhaus ◽

Christian Winkens ◽

Dietrich Paulus

Keyword(s):

3D Reconstruction ◽

Monocular Slam ◽

Dense 3D Reconstruction

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DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions

2019 International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2019.8793527 ◽

2019 ◽

Author(s):

Tristan Laidlow ◽

Jan Czarnowski ◽

Stefan Leutenegger

Keyword(s):

3D Reconstruction ◽

Real Time ◽

Single View ◽

Monocular Slam ◽

Dense 3D Reconstruction

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Variation Based Dense 3D Reconstruction

10.1007/978-3-658-12698-8 ◽

2016 ◽

Author(s):

Sven Painer

Keyword(s):

3D Reconstruction ◽

Dense 3D Reconstruction

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Single-Ray LiDAR-based Scanner for Static Scenes Dense 3D Reconstruction

2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP) ◽

10.1109/iccp51029.2020.9266239 ◽

2020 ◽

Author(s):

Bogdan Mesesan ◽

Tiberiu Marita ◽

Ramona Voichita Galatus

Keyword(s):

3D Reconstruction ◽

Dense 3D Reconstruction

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Progressively weighted affine adaptive correlation matching for quasi-dense 3D reconstruction

Pattern Recognition ◽

10.1016/j.patcog.2012.03.023 ◽

2012 ◽

Vol 45 (10) ◽

pp. 3795-3809 ◽

Author(s):

Dongjoe Shin ◽

Jan-Peter Muller

Keyword(s):

3D Reconstruction ◽

Dense 3D Reconstruction ◽

Correlation Matching

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Live Collaborative Large-Scale Dense 3D Reconstruction Using Consumer-Grade Hardware

2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) ◽

10.1109/ismar-adjunct.2018.00122 ◽

2018 ◽

Author(s):

Stuart Golodetz ◽

Tommaso Cavallari ◽

Nicholas A. Lord ◽

Victor A. Prisacariu ◽

David W. Murray ◽

...

Keyword(s):

3D Reconstruction ◽

Large Scale ◽

Dense 3D Reconstruction

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HighRes-MVSNet: A Fast Multi-View Stereo Network for Dense 3D Reconstruction From High-Resolution Images

IEEE Access ◽

10.1109/access.2021.3050556 ◽

2021 ◽

Vol 9 ◽

pp. 11306-11315

Author(s):

Rafael Weilharter ◽

Friedrich Fraundorfer

Keyword(s):

High Resolution ◽

3D Reconstruction ◽

High Resolution Images ◽

Dense 3D Reconstruction

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Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59716-0_74 ◽

2020 ◽

pp. 774-783

Author(s):

Gwangbin Bae ◽

Ignas Budvytis ◽

Chung-Kwong Yeung ◽

Roberto Cipolla

Keyword(s):

3D Reconstruction ◽

Endoscopic Video ◽

Dense 3D Reconstruction

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Video Frames Selection Method for 3D Reconstruction Depending on ROS-Based Monocular SLAM

Studies in Computational Intelligence - Robot Operating System (ROS) ◽

10.1007/978-3-030-45956-7_11 ◽

2020 ◽

pp. 351-380

Author(s):

Yasin Maan Yousif ◽

Iyad Hatem

Keyword(s):

3D Reconstruction ◽

Selection Method ◽

Video Frames ◽

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Monocular Visual Odometry and Dense 3D Reconstruction for On-Road Vehicles

Computer Vision – ECCV 2012. Workshops and Demonstrations - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33868-7_59 ◽

2012 ◽

pp. 596-606 ◽

Author(s):

Menglong Zhu ◽

Srikumar Ramalingam ◽

Yuichi Taguchi ◽

Tyler Garaas

Keyword(s):

3D Reconstruction ◽

Visual Odometry ◽

Road Vehicles ◽

Dense 3D Reconstruction

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A Two-Stage Strategy for Real-Time Dense 3D Reconstruction of Large-Scale Scenes

Computer Vision - ECCV 2014 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-319-16178-5_30 ◽

2015 ◽

pp. 428-442 ◽

Author(s):

Diego Thomas ◽

Akihiro Sugimoto

Keyword(s):

3D Reconstruction ◽

Real Time ◽

Large Scale ◽

Two Stage ◽

Dense 3D Reconstruction

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