| _ | tof | _ |
| 3D Estimation of Isometric Surfaces Using a | tof | -Based Approach |
| 3D-TV LDV content generation with a hybrid | tof | -multicamera RIG |
| Assessment of a Portable | tof | Camera and Comparison With Smartphone Stereo Vision |
| Attention-Assisted Adversarial Model for Cerebrovascular Segmentation in 3D | tof | -MRA Volumes |
| Cerebrovascular Segmentation by Accurate Probabilistic Modeling of | tof | -MRA Images |
| CFPNet: Improving Lightweight | tof | Depth Completion via Cross-Zone Feature Propagation |
| Combination of Spatially-Modulated | tof | and Structured Light for MPI-Free Depth Estimation |
| Combining RGB and | tof | cameras for real-time 3D hand gesture interaction |
| COSTA: A Multi-Center | tof | -MRA Dataset and a Style Self-Consistency Network for Cerebrovascular Segmentation |
| Deep Learning for Confidence Information in Stereo and | tof | Data Fusion |
| Deep Learning for Multi-path Error Removal in | tof | Sensors |
| DELTAR: Depth Estimation from a Light-Weight | tof | Sensor and RGB Image |
| Denoising techniques for raw 3D data of | tof | cameras based on clustering and wavelets |
| Design and calibration of a multi-view | tof | sensor fusion system |
| Disparity map generation for color image using | tof | depth camera |
| DNA-SLAM: Dense Noise Aware SLAM for | tof | RGB-D Cameras |
| Efficient 3-D | tof | PET Reconstruction Using View-Grouped Histo-Images: DIRECT-Direct Image Reconstruction for TOF |
| Efficient 3-D | tof | PET Reconstruction Using View-Grouped Histo-Images: DIRECT-Direct Image Reconstruction for TOF |
| Estimation of Crystal Timing Properties and Efficiencies for the Improvement of (Joint) Maximum-Likelihood Reconstructions in | tof | -PET |
| Extrinsic and depth calibration of | tof | -cameras |
| Face Recognition Using | tof | , LBP and SVM in Thermal Infrared Images |
| FloatingFusion: Depth from | tof | and Image-Stabilized Stereo Cameras |
| Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From | tof | -MRA |
| HDR- | tof | : HDR Time-of-Flight Imaging via Modulo Acquisition |
| High Accuracy | tof | and Stereo Sensor Fusion at Interactive Rates |
| High quality depth map upsampling for 3D- | tof | cameras |
| ICP with Depth Compensation for Calibration of Multiple | tof | Sensors |
| Image-guided | tof | depth upsampling: a survey |
| Improved 3D reconstruction in smart-room environments using | tof | imaging |
| Information-Gain View Planning for Free-Form Object Reconstruction with a 3D | tof | Camera |
| Integration of | tof | Camera and Multi-image Matching Approach for Cultural Heritage Survey |
| Investigating new calibration methods without feature detection for | tof | cameras |
| Joint Estimation of Activity and Attenuation in Whole-Body | tof | PET/MRI Using Constrained Gaussian Mixture Models |
| Joint | tof | Image Denoising and Registration with a CT Surface in Radiation Therapy |
| LidarBoost: Depth superresolution for | tof | 3D shape scanning |
| LMPDNET: | tof | -PET List-Mode Image Reconstruction Using Model-Based Deep Learning Method |
| Locally Consistent | tof | and Stereo Data Fusion |
| Manifold Learning for | tof | -based Human Body Tracking and Activity Recognition |
| Mask- | tof | : Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging |
| Material Information Acquisition Using a | tof | Range Sensor for Interactive Object Recognition |
| MIPI 2022 Challenge on RGB+ | tof | Depth Completion: Dataset and Report |
| MIPI 2023 Challenge on RGB+ | tof | Depth Completion: Methods and Results |
| Mitigating AC and DC Interference in Multi- | tof | -Camera Environments |
| MixIn3D: 3D Mixed Reality with | tof | -Camera |
| ML-Reconstruction for | tof | -PET With Simultaneous Estimation of the Attenuation Factors |
| Model-Based Hand Gesture Tracking in | tof | Image Sequences |
| Modeling Distance Nonlinearity in | tof | Cameras and Correction Based on Integration Time Offsets |
| Multi-camera interference cancellation of time-of-flight ( | tof | ) cameras |
| Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight | tof | Sensor |
| Multi-view image and | tof | sensor fusion for dense 3D reconstruction |
| Mutual Use of Semantics and Geometry for CNN-based Object Localization in | tof | Images |
| New insights into the calibration of | tof | -sensors |
| Noise Modelling and Uncertainty Propagation for | tof | Sensors |
| Non-parametric depth calibration of a | tof | camera |
| People Detection and Tracking with | tof | Sensor |
| Performance Modeling a Near-Infrared | tof | LiDAR Under Fog: A Data-Driven Approach |
| Physics-Based | tof | Imaging Simulation for Space Targets Based on Improved Path Tracing |
| Pose-insensitive nose detection in | tof | -scans |
| Positronium Lifetime Image Reconstruction for | tof | PET |
| Probabilistic Approach to | tof | and Stereo Data Fusion, A |
| Probabilistic | tof | and Stereo Data Fusion Based on Mixed Pixels Measurement Models |
| Quick 3D with UAV and | tof | Camera for Geomorphometric Assessment |
| RADU: Ray-Aligned Depth Update Convolutions for | tof | Data Denoising |
| Real-time hybrid | tof | multi-camera rig fusion system for depth map enhancement |
| Relative Pose Estimation of Non-Cooperative Space Targets Using a | tof | Camera |
| Reliable fusion of | tof | and stereo data based on joint depth filter |
| Reliable Fusion of | tof | and Stereo Depth Driven by Confidence Measures |
| Research of space target segmentation algorithm based on | tof | camera |
| RGB Guided | tof | Imaging System: A Survey of Deep Learning-Based Methods |
| Robust curb and ramp detection for safe parking using the Canesta | tof | camera |
| Robustness of | tof | and stereo fusion for high-accuracy depth map |
| Self-occlusion handling for human body motion tracking from 3D | tof | image sequence |
| Sensor Fusion for Depth Estimation, including | tof | and Thermal Sensors |
| Simultaneous Activity and Attenuation Estimation in | tof | -PET With TV-Constrained Nonconvex Optimization |
| Simultaneous Estimation of Object Region and Depth in Participating Media Using a | tof | Camera |
| Simultaneous Time-of-Flight sensing and photometric stereo with a single | tof | sensor |
| Simultaneous Variable-Slab Dual-Echo | tof | MR Angiography and Susceptibility-Weighted Imaging |
| Single-Shot Multi-Path Interference Resolution for Mirror-Based Full 3D Shape Measurement with a Correlation-Based | tof | Camera, A |
| Single- | tof | -LiDAR-based plane information recognition |
| SLAM combining | tof | and high-resolution cameras |
| Snapshot Compressive | tof | +Spectral Imaging via Optimized Color-Coded Apertures |
| Spatio-temporal | tof | data enhancement by fusion |
| SR-4000 and CamCube3.0 Time of Flight ( | tof | ) Cameras: Tests and Comparison |
| Sr-4000 | tof | Camera: Further Experimental Tests And First Applications To Metric Surveys |
| SRA: Fast Removal of General Multipath for | tof | Sensors |
| Stochastic Exposure Coding for Handling Multi- | tof | -Camera Interference |
| Surface IR Reflectance Estimation and Material Recognition using | tof | Camera |
| Surface reflectance estimation and segmentation from single depth image of | tof | camera |
| Tackling 3D | tof | Artifacts Through Learning and the FLAT Dataset |
| tof | and Stereo Data Fusion Using Dynamic Search Range Stereo Matching |
| tof | imaging in Smart room environments towards improved people tracking |
| tof | Range-Imaging Cameras |
| tof | -360 - A Panoramic Time-of-Flight RGB-D Dataset for Single Capture Indoor Semantic 3D Reconstruction |
| tof | -assisted binocular vision accuracy improvement method for underwater fish size inspection |
| tof | -sensors: New dimensions for realism and interactivity |
| Towards Illumination-Invariant 3D Reconstruction Using | tof | RGB-D Cameras |
| Turning a | tof | camera into an illumination tester: Multichannel waveform recovery from few measurements using compressed sensing |
| Unified Approach to Calibrate a Network of Camcorders and | tof | cameras, A |
| Unsupervised Domain Adaptation for | tof | Data Denoising With Adversarial Learning |
| Unsupervised Domain Adaptation of Deep Networks for | tof | Depth Refinement |
| What Happens for a | tof | LiDAR in Fog? |
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