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Found 12 papers, 10 papers with code
Isometric Transformations for Image Augmentation in Mueller Matrix Polarimetry
This study underscores the necessity of physics-informed data augmentation for polarimetric imaging in deep learning (DL), paving the way for broader adoption and more robust applications across diverse research in the field.
Online 3D reconstruction and dense tracking in endoscopic videos
3D scene reconstruction from stereo endoscopic video data is crucial for advancing surgical interventions.
Learning Super-Resolution Ultrasound Localization Microscopy from Radio-Frequency Data
Ultrasound Localization Microscopy (ULM) enables imaging of vascular structures in the micrometer range by accumulating contrast agent particle locations over time.
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency Wavefronts
However, our study uncovers an enormous potential: The process of delay-and-sum beamforming leads to an irreversible reduction of Radio-Frequency (RF) channel data, while its implications for localization remain largely unexplored.
StofNet: Super-resolution Time of Flight Network
Time of Flight (ToF) is a prevalent depth sensing technology in the fields of robotics, medical imaging, and non-destructive testing.
Geometric Ultrasound Localization Microscopy
Contrast-Enhanced Ultra-Sound (CEUS) has become a viable method for non-invasive, dynamic visualization in medical diagnostics, yet Ultrasound Localization Microscopy (ULM) has enabled a revolutionary breakthrough by offering ten times higher resolution.
3-Dimensional Sonic Phase-invariant Echo Localization
Parallax and Time-of-Flight (ToF) are often regarded as complementary in robotic vision where various light and weather conditions remain challenges for advanced camera-based 3-Dimensional (3-D) reconstruction.
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos
Purpose: Surgical scene understanding plays a critical role in the technology stack of tomorrow's intervention-assisting systems in endoscopic surgeries.
Multimodal Exponentially Modified Gaussian Oscillators
Acoustic modeling serves audio processing tasks such as de-noising, data reconstruction, model-based testing and classification.
PlenoptiCam v1.0: A light-field imaging framework
Light-field cameras play a vital role for rich 3-D information retrieval in narrow range depth sensing applications.
Baseline and Triangulation Geometry in a Standard Plenoptic Camera
We present a geometrical light field model allowing the triangulation to be applied to a plenoptic camera in order to predict object distances or specify baselines as desired.
PlenoptiSign: an optical design tool for plenoptic imaging
Plenoptic imaging enables a light-field to be captured by a single monocular objective lens and an array of micro lenses attached to an image sensor.
