Chen et al., 2022 - Google Patents
Robust speckle-autocorrelation non-line-of-sight imaging with generative adversarial networksChen et al., 2022
- Document ID
- 1656493854057518689
- Author
- Chen Y
- Qu B
- Lu X
- Publication year
- Publication venue
- Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021)
External Links
Snippet
Non-line-of-sight (NLOS) imaging, which utilizes weak photons that diffusely reflect from the visible surfaces (eg, diffuse walls), can reconstruct hidden objects around the corner. Recently, lots of non-line-of-sight imaging methods have been proposed, such as time-of …
- 238000003384 imaging method 0 title abstract description 57
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/06—Ray-tracing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chen et al. | Learned feature embeddings for non-line-of-sight imaging and recognition | |
Heide et al. | Non-line-of-sight imaging with partial occluders and surface normals | |
US20240169658A1 (en) | Systems and Methods for Reconstructing Scenes to Disentangle Light and Matter Fields | |
Grau Chopite et al. | Deep non-line-of-sight reconstruction | |
Maeda et al. | Recent advances in imaging around corners | |
Jarabo et al. | A framework for transient rendering | |
Isogawa et al. | Efficient non-line-of-sight imaging from transient sinograms | |
Metzler et al. | Keyhole imaging: non-line-of-sight imaging and tracking of moving objects along a single optical path | |
Geng et al. | Recent advances on non-line-of-sight imaging: Conventional physical models, deep learning, and new scenes | |
Zhang et al. | Illumination estimation for augmented reality based on a global illumination model | |
Kirkland et al. | Imaging from temporal data via spiking convolutional neural networks | |
Liu et al. | Few-shot non-line-of-sight imaging with signal-surface collaborative regularization | |
Lei et al. | Single-shot structured light projection profilometry with SwinConvUNet | |
Gu et al. | Fast non-line-of-sight imaging with non-planar relay surfaces | |
Ding et al. | Curvature regularization for non-line-of-sight imaging from under-sampled data | |
Cao et al. | Dynamic-excitation-based steady-state non-line-of-sight imaging via multi-branch convolutional neural network | |
Grau et al. | Occlusion fields: An implicit representation for non-line-of-sight surface reconstruction | |
Chen et al. | Robust speckle-autocorrelation non-line-of-sight imaging with generative adversarial networks | |
Peng et al. | Towards non-line-of-sight photography | |
Buck et al. | Ignorance is bliss: flawed assumptions in simulated ground truth | |
Li et al. | 3d fluid flow reconstruction using compact light field piv | |
Zhang et al. | Non-line-of-sight imaging based on Archimedean spiral scanning | |
Diskin et al. | Dense point-cloud representation of a scene using monocular vision | |
Xu et al. | Active non-line-of-sight human pose estimation based on deep learning | |
Laurenzis et al. | Approaches to solve inverse problems for optical sensing around corners |