Research graph
References from Differential defocus–assisted metric depth estimation for monocular endoscopic imaging. Local targets link to admitted publications; unresolved targets remain external evidence.
Stitching and surface reconstruction from endoscopic image sequences: a review of applications and methods
10.1109/jbhi.2014.2384134 · 2014 · External reference
Stereo dense scene reconstruction and accurate localization for learning-based navigation of laparoscope in minimally invasive surgery
10.1109/tbme.2022.3195027 · 2022 · External reference
The future of endoscopic navigation: a review of advanced endoscopic vision technology
10.1109/access.2021.3065104 · 2021 · External reference
Monocular depth estimation: a thorough review
10.1109/tpami.2023.3330944 · 2023 · External reference
A compact monocular dual-view 3D endoscope imaging system based on dichroic prism for minimally invasive surgery
10.1109/tbme.2025.3545764 · 2025 · External reference
Deep convolutional network for stereo depth mapping in binocular endoscopy
10.1109/access.2020.2987767 · 2020 · External reference
Towards 3D reconstruction with variable-baseline binocular endoscope for minimally invasive surgery
2024 · External reference
A three-dimensional measurement method for binocular endoscopes based on deep learning
10.1631/fitee.2000679 · 2022 · External reference
Current advances in single-port laparoscopic surgery
10.1007/s00423-013-1113-2 · 2013 · External reference
Dense depth estimation in monocular endoscopy with self-supervised learning methods
10.1109/tmi.2019.2950936 · 2019 · External reference
Self-supervised monocular depth estimation for gastrointestinal endoscopy
10.1016/j.cmpb.2023.107619 · 2023 · External reference
Image intrinsic-based unsupervised monocular depth estimation in endoscopy
2024 · External reference
Enhanced scale-aware depth estimation for monocular endoscopic scenes with geometric modeling
2024 · External reference
Endodac: efficient adapting foundation model for self-supervised depth estimation from any endoscopic camera
2024 · External reference
Unresolved reference
External reference
Improve deep learning autofocus with depth information supervision and current focal distance cues
2024 · External reference
Depth from defocus applied to auto focus
2014 · External reference
Focus on defocus: bridging the synthetic to real domain gap for depth estimation
2020 · External reference
Camera-independent single image depth estimation from defocus blur
2024 · External reference
Focal split: untethered snapshot depth from differential defocus
2025 · External reference
Using a bi-prism endoscopic system for three-dimensional measurement
2016 · External reference
Compact stereo endoscopic camera using microprism arrays
10.1364/ol.41.001285 · 2016 · External reference
A novel technique for measuring 3D deformation of adhesively bonded single lap joint
10.1007/s11433-015-5712-5 · 2016 · External reference
Structure parameter analysis and uncertainty evaluation for single-camera stereo-digital image correlation with a four-mirror adapter
10.1364/ao.55.006936 · 2016 · External reference
Optics system design applying a micro-prism array of a single lens stereo image pair
10.1364/oe.16.015495 · 2008 · External reference
Optimal calibration of a prism-based videoendoscopic system for precise 3D measurements
10.18287/2412-6179-2017-41-4-535-544 · 2017 · External reference
A monocular variable magnifications 3D laparoscope system using double liquid lenses
10.1109/jtehm.2023.3311022 · 2023 · External reference
Deep learning-based monocular depth estimation methods—a state-of-the-art review
10.3390/s20082272 · 2020 · External reference
Depth anything: unleashing the power of large-scale unlabeled data
2024 · External reference
Depth anything v2
10.52202/079017-0688 · 2024 · External reference
Unresolved reference
External reference
Monovit: self-supervised monocular depth estimation with a vision transformer
2022 · External reference
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos
10.1016/j.media.2021.102058 · 2021 · External reference
Self-supervised learning for monocular depth estimation on minimally invasive surgery scenes
2021 · External reference
The surprising effectiveness of diffusion models for optical flow and monocular depth estimation
10.52202/075280-1713 · 2023 · External reference
Diffusiondepth: diffusion denoising approach for monocular depth estimation
2024 · External reference
Diffusion model-based image editing: a survey
10.1109/tpami.2025.3541625 · 2025 · External reference
Absolute monocular depth estimation on robotic visual and kinematics data via self-supervised learning
10.1109/tase.2024.3409392 · 2024 · External reference
Depth estimation from a single image using deep learned phase coded mask
10.1109/tci.2018.2849326 · 2018 · External reference
Calibration-free deep optics for depth estimation with precise simulation
10.1016/j.optlaseng.2024.108313 · 2024 · External reference
Coded aperture pairs for depth from defocus and defocus deblurring
10.1007/s11263-010-0409-8 · 2011 · External reference
Focal track: depth and accommodation with oscillating lens deformation
2017 · External reference
Focal flow: velocity and depth from differential defocus through motion
10.1007/s11263-017-1051-5 · 2018 · External reference
Deep depth completion from extremely sparse data: a survey
2022 · External reference
Nonlinear approach for enhancement of image focus volume in shape from focus
10.1109/tip.2012.2186144 · 2012 · External reference
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
10.1145/358669.358692 · 1981 · External reference
Digging into self-supervised monocular depth estimation
2019 · External reference
Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
2020 · External reference
Current advances in single-port laparoscopic surgery
10.1007/s00423-013-1113-2 · ExternalCitation · doi-reference
Coded aperture pairs for depth from defocus and defocus deblurring
10.1007/s11263-010-0409-8 · ExternalCitation · doi-reference
Focal flow: velocity and depth from differential defocus through motion
10.1007/s11263-017-1051-5 · ExternalCitation · doi-reference
A novel technique for measuring 3D deformation of adhesively bonded single lap joint
10.1007/s11433-015-5712-5 · ExternalCitation · doi-reference
Self-supervised monocular depth estimation for gastrointestinal endoscopy
10.1016/j.cmpb.2023.107619 · ExternalCitation · doi-reference
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos
10.1016/j.media.2021.102058 · ExternalCitation · doi-reference
Calibration-free deep optics for depth estimation with precise simulation
10.1016/j.optlaseng.2024.108313 · ExternalCitation · doi-reference
Deep convolutional network for stereo depth mapping in binocular endoscopy
10.1109/access.2020.2987767 · ExternalCitation · doi-reference
The future of endoscopic navigation: a review of advanced endoscopic vision technology
10.1109/access.2021.3065104 · ExternalCitation · doi-reference
Stitching and surface reconstruction from endoscopic image sequences: a review of applications and methods
10.1109/jbhi.2014.2384134 · ExternalCitation · doi-reference
A monocular variable magnifications 3D laparoscope system using double liquid lenses
10.1109/jtehm.2023.3311022 · ExternalCitation · doi-reference
Absolute monocular depth estimation on robotic visual and kinematics data via self-supervised learning
10.1109/tase.2024.3409392 · ExternalCitation · doi-reference
Stereo dense scene reconstruction and accurate localization for learning-based navigation of laparoscope in minimally invasive surgery
10.1109/tbme.2022.3195027 · ExternalCitation · doi-reference
A compact monocular dual-view 3D endoscope imaging system based on dichroic prism for minimally invasive surgery
10.1109/tbme.2025.3545764 · ExternalCitation · doi-reference
Depth estimation from a single image using deep learned phase coded mask
10.1109/tci.2018.2849326 · ExternalCitation · doi-reference
Nonlinear approach for enhancement of image focus volume in shape from focus
10.1109/tip.2012.2186144 · ExternalCitation · doi-reference
Dense depth estimation in monocular endoscopy with self-supervised learning methods
10.1109/tmi.2019.2950936 · ExternalCitation · doi-reference
Monocular depth estimation: a thorough review
10.1109/tpami.2023.3330944 · ExternalCitation · doi-reference
Diffusion model-based image editing: a survey
10.1109/tpami.2025.3541625 · ExternalCitation · doi-reference
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
10.1145/358669.358692 · ExternalCitation · doi-reference
Structure parameter analysis and uncertainty evaluation for single-camera stereo-digital image correlation with a four-mirror adapter
10.1364/ao.55.006936 · ExternalCitation · doi-reference
Optics system design applying a micro-prism array of a single lens stereo image pair
10.1364/oe.16.015495 · ExternalCitation · doi-reference
Compact stereo endoscopic camera using microprism arrays
10.1364/ol.41.001285 · ExternalCitation · doi-reference
A three-dimensional measurement method for binocular endoscopes based on deep learning
10.1631/fitee.2000679 · ExternalCitation · doi-reference
Optimal calibration of a prism-based videoendoscopic system for precise 3D measurements
10.18287/2412-6179-2017-41-4-535-544 · ExternalCitation · doi-reference
Deep learning-based monocular depth estimation methods—a state-of-the-art review
10.3390/s20082272 · ExternalCitation · doi-reference
The surprising effectiveness of diffusion models for optical flow and monocular depth estimation
10.52202/075280-1713 · ExternalCitation · doi-reference
Depth anything v2
10.52202/079017-0688 · ExternalCitation · doi-reference
