Correlation Plenoptic Imaging between Arbitrary Planes
- URL: http://arxiv.org/abs/2007.12033v2
- Date: Tue, 4 Aug 2020 15:11:03 GMT
- Title: Correlation Plenoptic Imaging between Arbitrary Planes
- Authors: Francesco Di Lena, Gianlorenzo Massaro, Alessandro Lupo, Augusto
Garuccio, Francesco V. Pepe, and Milena D'Angelo
- Abstract summary: We show that the protocol enables to change the focused planes, in post-processing, and to achieve an unprecedented combination of image resolution and depth of field.
Results lead the way towards the development of compact designs for correlation plenoptic imaging devices based on chaotic light, as well as high-SNR plenoptic imaging devices based on entangled photon illumination.
- Score: 52.77024349608834
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We propose a novel method to perform plenoptic imaging at the diffraction
limit by measuring second-order correlations of light between two reference
planes, arbitrarily chosen, within the tridimensional scene of interest. We
show that for both chaotic light and entangled-photon illumination, the
protocol enables to change the focused planes, in post-processing, and to
achieve an unprecedented combination of image resolution and depth of field. In
particular, the depth of field results larger by a factor 3 with respect to
previous correlation plenoptic imaging protocols, and by an order of magnitude
with respect to standard imaging, while the resolution is kept at the
diffraction limit. The results lead the way towards the development of compact
designs for correlation plenoptic imaging devices based on chaotic light, as
well as high-SNR plenoptic imaging devices based on entangled photon
illumination, thus contributing to make correlation plenoptic imaging
effectively competitive with commercial plenoptic devices.
Related papers
- Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions [58.88917836512819]
We propose a novel framework incorporating stereo depth estimation to enforce accurate geometric constraints.
To mitigate the effects of poor lighting on stereo matching, we introduce Degradation Masking.
Our method achieves state-of-the-art (SOTA) performance on the Multi-Spectral Stereo (MS2) dataset.
arXiv Detail & Related papers (2024-11-06T03:30:46Z) - Correlation Hyperspectral Imaging [0.0]
Hyperspectral imaging aims at providing information on both the spatial and the spectral distribution of light, with high resolution.
We address this limitation by exploiting light intensity correlations, which are shown to enable overcoming the typical downsides of traditional hyperspectral imaging techniques.
The enabled combination of high spatial and spectral resolution, high speed, and insensitivity to undesired spectral features shall lead to a paradigm change in hyperspectral imaging devices.
arXiv Detail & Related papers (2024-07-18T19:54:44Z) - 3D correlation imaging for localized phase disturbance mitigation [0.0]
Correlation plenoptic imaging is a procedure to perform light-field imaging without spatial resolution.
We propose a correlation light-field imaging method to overcome the effects of slowly varying turbulence.
arXiv Detail & Related papers (2024-06-14T19:12:21Z) - Phase Guided Light Field for Spatial-Depth High Resolution 3D Imaging [36.208109063579066]
On 3D imaging, light field cameras typically are of single shot, and they heavily suffer from low spatial resolution and depth accuracy.
We propose a phase guided light field algorithm to significantly improve both the spatial and depth resolutions for off-the-shelf light field cameras.
arXiv Detail & Related papers (2023-11-17T15:08:15Z) - Periodic patterns for resolution limit characterization of correlation
plenoptic imaging [0.0]
correlation of the-dimensional-temporal correlations of light provides an interesting tool to overcome the traditional limitations of standard imaging.
Using plenoptic imaging, one can detect both the spatial distribution and direction of light in a scene, pushing both resolution and depth of field to the fundamental limit imposed by wave-optics.
arXiv Detail & Related papers (2023-09-01T15:45:04Z) - Correlated-photon imaging at 10 volumetric images per second [0.8624846348809068]
correlation plenoptic imaging (CPI) is a quantum-inspired imaging protocol employing correlated photons from either entangled or chaotic sources.
In this article, we exploit intrinsic photon number intrinsic correlations in chaotic light, combined with a cutting-edge ultrafast sensor made of a large array of single-photon avalanche diodes (SPADs)
Our results place correlated-photon imaging at a competitive edge and prove its potential in practical applications.
arXiv Detail & Related papers (2022-12-06T00:12:52Z) - Dense Optical Flow from Event Cameras [55.79329250951028]
We propose to incorporate feature correlation and sequential processing into dense optical flow estimation from event cameras.
Our proposed approach computes dense optical flow and reduces the end-point error by 23% on MVSEC.
arXiv Detail & Related papers (2021-08-24T07:39:08Z) - High-Resolution Optical Flow from 1D Attention and Correlation [89.61824964952949]
We propose a new method for high-resolution optical flow estimation with significantly less computation.
We first perform a 1D attention operation in the vertical direction of the target image, and then a simple 1D correlation in the horizontal direction of the attended image.
Experiments on Sintel, KITTI and real-world 4K resolution images demonstrated the effectiveness and superiority of our proposed method.
arXiv Detail & Related papers (2021-04-28T17:56:34Z) - Deep Two-View Structure-from-Motion Revisited [83.93809929963969]
Two-view structure-from-motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM.
We propose to revisit the problem of deep two-view SfM by leveraging the well-posedness of the classic pipeline.
Our method consists of 1) an optical flow estimation network that predicts dense correspondences between two frames; 2) a normalized pose estimation module that computes relative camera poses from the 2D optical flow correspondences, and 3) a scale-invariant depth estimation network that leverages epipolar geometry to reduce the search space, refine the dense correspondences, and estimate relative depth maps.
arXiv Detail & Related papers (2021-04-01T15:31:20Z) - Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian
Photometric Stereo [61.6260594326246]
We introduce an efficient fully-convolutional architecture that can leverage both spatial and photometric context simultaneously.
Using separable 4D convolutions and 2D heat-maps reduces the size and makes more efficient.
arXiv Detail & Related papers (2021-03-22T18:06:58Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.