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Found 10 papers, 8 papers with code
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.
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.
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.
Multimodal Exponentially Modified Gaussian Oscillators
Acoustic modeling serves audio processing tasks such as de-noising, data reconstruction, model-based testing and classification.
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.
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.
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.
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.
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.
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.
