Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
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Abstract (arXiv)
Depth reconstruction and hyperspectral reflectance reconstruction are two active research topics in computer vision and image processing. Conventionally, these two topics have been studied separately using independent imaging setups and there is no existing method which can acquire depth and spectral reflectance simultaneously in one shot without using special hardware. In this paper, we propose a novel single-shot hyperspectral-depth reconstruction method using an off-the-shelf RGB camera and projector. Our method is based on a single color-dot projection, which simultaneously acts as structured light for depth reconstruction and spatially-varying color illuminations for hyperspectral reflectance reconstruction. To jointly reconstruct the depth and the hyperspectral reflectance from a single color-dot image, we propose a novel end-to-end network architecture that effectively incorporates a geometric color-dot pattern loss and a photometric hyperspectral reflectance loss. Through the experiments, we demonstrate that our hyperspectral-depth reconstruction method outperforms the combination of an existing state-of-the-art single-shot hyperspectral reflectance reconstruction method and depth reconstruction method.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 38 references that are in the map. First posted on arXiv 8 Apr 2022.
Builds on
11 of 38 references.
References · 11
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
- 2020AdaBins: Depth Estimation using Adaptive Binscited by 596
- 2020Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Opticscited by 39
- 2018ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systemscited by 35
- 2020AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Imagescited by 29
- 2020Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereocited by 21
- 2019Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance from Motioncited by 9
- 2021Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectancecited by 8
- 2017Hyperspectral Light Field Stereo Matchingcited by 5
- 2020Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distributioncited by 2
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 2.
4 papers.
- 2023Dispersed Structured Light for Hyperspectral 3D Imagingcited by 4
- 2024LED: Light Enhanced Depth Estimation at Nightcited by 2
- 2026Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixelscited by 0
- 2026Broadband Hyperspectral 3D Imaging using Dispersed Structured Lightcited by 0
- 2026Broadband Hyperspectral 3D Imaging using Dispersed Structured Light25 May 2026
- 2026Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels25 Feb 2026
- 2024LED: Light Enhanced Depth Estimation at Night12 Sep 2024
- 2023Dispersed Structured Light for Hyperspectral 3D Imaging30 Nov 2023