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Found 35 papers, 11 papers with code
3D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Information
Accurate and fast 3D imaging of specular surfaces still poses major challenges for state-of-the-art optical measurement principles.
Event-based Shape from Polarization with Spiking Neural Networks
Recent advances in event-based shape determination from polarization offer a transformative approach that tackles the trade-off between speed and accuracy in capturing surface geometries.
Event-based Motion-Robust Accurate Shape Estimation for Mixed Reflectance Scenes
In this paper, we present a novel event-based structured light system that enables fast 3D imaging of mixed reflectance scenes with high accuracy.
Accurate Eye Tracking from Dense 3D Surface Reconstructions using Single-Shot Deflectometry
Eye-tracking plays a crucial role in the development of virtual reality devices, neuroscience research, and psychology.
Stochastic Light Field Holography
The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays.
Thermal Spread Functions (TSF): Physics-guided Material Classification
Our key observation is that the rate of heating and cooling of an object depends on the unique intrinsic properties of the material, namely the emissivity and diffusivity.
Optimization-Based Eye Tracking using Deflectometric Information
Eye tracking is an important tool with a wide range of applications in Virtual, Augmented, and Mixed Reality (VR/AR/MR) technologies.
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors
We present 3D measurements of small (cm-sized) objects with > 2 Mp point cloud resolution (the resolution of our used detector) and up to sub-mm depth precision.
Boost Event-Driven Tactile Learning with Location Spiking Neurons
Moreover, to demonstrate the representation effectiveness of our proposed neurons and capture the complex spatio-temporal dependencies in the event-driven tactile data, we exploit the location spiking neurons to propose two hybrid models for event-driven tactile learning.
Event-Driven Tactile Learning with Location Spiking Neurons
In this paper, to improve the representative capabilities of existing spiking neurons, we propose a novel neuron model called "location spiking neuron", which enables us to extract features of event-based data in a novel way.
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings
Macro x-ray fluorescence (XRF) imaging of cultural heritage objects, while a popular non-invasive technique for providing elemental distribution maps, is a slow acquisition process in acquiring high signal-to-noise ratio XRF volumes.
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes
Generative Adversarial Networks (GANs) have shown promise in augmenting datasets and boosting convolutional neural networks' (CNN) performance on image classification tasks.
Anatomy of a superorganism -- structure and growth dynamics of army ant bivouacs
Beyond unicellular and multicellular organisms, there is a third type of structural complexity in living animals: that of the mechanical self-assembly of groups of distinct multicellular organisms into dynamical, functional structures.
LiveView: Dynamic Target-Centered MPI for View Synthesis
Existing Multi-Plane Image (MPI) based view-synthesis methods generate an MPI aligned with the input view using a fixed number of planes in one forward pass.
Plot2Spectra: an Automatic Spectra Extraction Tool
In scientific literature, XANES/Raman data are usually plotted in line graphs which is a visually appropriate way to represent the information when the end-user is a human reader.
A Joint Intensity-Neuromorphic Event Imaging System for Resource Constrained Devices
The detection and tracking of objects in the scene are done on the distorted data at the host.
Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization
To avoid the ill-posedness, we investigate the effect of regularizing the phase retrieval algorithm with image priors for various overlap ratios between the neighboring diffraction patterns.
Removing Blocking Artifacts in Video Streams Using Event Cameras
In this paper, we propose EveRestNet, a convolutional neural network designed to remove blocking artifacts in videostreams using events from neuromorphic sensors.
Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation
The adaptive sparse depth sampling network is jointly trained with a fusion network of an RGB image and sparse depth, to generate optimal adaptive sampling masks.
EXSCLAIM! -- An automated pipeline for the construction of labeled materials imaging datasets from literature
Due to recent improvements in image resolution and acquisition speed, materials microscopy is experiencing an explosion of published imaging data.
SkinScan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
The utilization of computational photography becomes increasingly essential in the medical field.
A Two-stage Framework for Compound Figure Separation
We propose a two-stage framework to address the proposed compound figure separation problem.
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video
We propose a self-supervised learning-based algorithm for LF video reconstruction from stereo video.
E3D: Event-Based 3D Shape Reconstruction
We first introduce an event-to-silhouette (E2S) neural network module to transform a stack of event frames to the corresponding silhouettes, with additional neural branches for camera pose regression.
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
Computed tomography is widely used to examine internal structures in a non-destructive manner.
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom
The use of computed tomography (CT) imaging has become of increasing interest to academic areas outside of the field of medical imaging and industrial inspection, e. g., to biology and cultural heritage research.
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling
The histograms are then variably sampled via Poisson Disk Sampling prioritized by the QT based segmentation map.
Semantic Segmentation for Compound figures
First, a subfigure label detector is built to extract the global layout information of the compound figure.
Uncalibrated Deflectometry with a Mobile Device on Extended Specular Surfaces
We introduce a system and methods for the three-dimensional measurement of extended specular surfaces with high surface normal variations.
Event-driven Video Frame Synthesis
Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at timestamps different from existing frames, which has wide applications in video codec, editing and analysis.
Privacy-Preserving Action Recognition using Coded Aperture Videos
We propose a lens-free coded aperture camera system for human action recognition that is privacy-preserving.
Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
We propose an XRF image inpainting approach to address the issue of long scanning time, thus speeding up the scanning process while still maintaining the possibility to reconstruct a high quality XRF image.
Compressive Holographic Video
Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image.
Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays
Recent advances in ptychography have demonstrated that one can image beyond the diffraction limit of the objective lens in a microscope.
A Framework for the Analysis of Computational Imaging Systems with Practical Applications
Unfortunately, a detailed analysis of CI has proven to be a challenging problem because performance depends equally on three components: (1) the optical multiplexing, (2) the noise characteristics of the sensor, and (3) the reconstruction algorithm.
