Single-pixel 3D imaging with time-based depth resolution

Abstract

Time-of-flight three dimensional imaging is an important tool for many applications, such as object recognition and remote sensing. Unlike conventional imaging approach using pixelated detector array, single-pixel imaging based on projected patterns, such as Hadamard patterns, utilises an alternative strategy to acquire information with sampling basis. Here we show a modified single-pixel camera using a pulsed illumination source and a high-speed photodiode, capable of reconstructing 128x128 pixel resolution 3D scenes to an accuracy of ~3 mm at a range of ~5 m. Furthermore, we demonstrate continuous real-time 3D video with a frame-rate up to 12 Hz. The simplicity of the system hardware could enable low-cost 3D imaging devices for precision ranging at wavelengths beyond the visible spectrum.

10 pages, 6 figures

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• Ghost imaging with a single detector
• Photon counting compressive depth mapping
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• Computational Ghost Imaging

Cited by in corpus (55)

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• Experimental comparison of single-pixel imaging algorithms
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• Super sub-Nyquist single-pixel imaging by means of cake-cutting Hadamard basis sort
• Real-time single-pixel video imaging with Fourier domain regularization
• Non-line-of-sight 3D imaging with a single-pixel camera
• Neutron Ghost Imaging
• Frequency-modulated continuous-wave LiDAR compressive depth-mapping
• Broadband high-resolution terahertz single-pixel imaging
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• Self-evolving ghost imaging
• Anti-interference Computational Ghost Imaging with Pink Noise Speckle Patterns
• Polarization-multiplexing ghost imaging
• Ultraviolet photon-counting single-pixel imaging
• Image watermarking and fusion based on Fourier single-pixel imaging with weighed light source
• Spatial images from temporal data
• Performance comparison of computational ghost imaging versus single-pixel camera in light disturbance environment
• Optimal compressive multiphoton imaging at depth using single-pixel detection
• High-resolution mid-infrared single-photon upconversion ranging
• Single pixel structured imaging through fog
• Domino successive-deviation ghost imaging
• Demonstration of quantum-enhanced rangefinding robust against classical jamming
• Mid-infrared single-pixel imaging via two-photon optical encoding
• Single-pixel imaging with sampling distributed over simplex vertices
• One mask to rule them all: Writing arbitrary distributions of radiant exposure by scanning a single illuminated spatially-random screen
• Dual-mode adaptive-SVD ghost imaging
• Compressive dual-comb spectroscopy
• Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radar
• 3D Single-pixel imaging with active sampling patterns and learning based reconstruction
• Single-pixel diffuser camera
• Instant Ghost Imaging: Algorithm and On-chip Implementation
• A Time-of-Flight Imaging System Based on Resonant Photoelastic Modulation
• Infrared Single-Pixel Hyperspectral Imaging via Spatial-Temporal Multiplexing
• Complex-amplitude Fourier single-pixel imaging via coherent structured illumination
• Temporally and Spatially variant-resolution illumination patterns in computational ghost imaging
• Single-pixel imaging via data-driven and deep image prior dual networks
• 3D Fourier ghost imaging via semi-calibrated photometric stereo
• Compact Multi-Spectral Pushframe Camera for Nano-Satellites
• Fermionic ghost imaging
• Deep learning based high-resolution incoherent x-ray imaging with a single-pixel detector
• X-ray ghost tomography: denoising, dose fractionation and mask considerations
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• A Gigapixel Computational Light-Field Camera
• Adaptive compressed 3D imaging based on wavelet trees and Hadamard multiplexing with a single photon counting detector
• Single-pixel edge enhancement of object via convolutional filtering with localized vortex phase
• Optimization of retina-like illumination patterns in ghost imaging
• Complementary Fourier single-pixel imaging
• LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
• Instant ghost imaging: improving robustness for ghost imaging subject to optical background noise
• Instant single-pixel imaging: on-chip real-time implementation based on instant ghost imaging algorithm
• Characterizing High-Dimensional Optical Systems with Applications in Compressive Sensing and Quantum Data Locking
• Moving Object Captured with Pink Noise Pattern in Computational Ghost Imaging