mlsanityData to 7 Oct 2026

Low-Cost Compressive Sensing for Color Video and Depth

arXiv 1402.6932 ↗First posted 27 Feb 2014cs.CVcited by 21

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Abstract (arXiv)

A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover {multiple} color frames for each of the original measured frames, and each of the recovered frames can be focused at a different depth. The recovery of multiple frames for each measured frame is made possible via high-speed coding, manifested via translation of a single coded aperture; the inexpensive translation is constituted by mounting the binary code on a piezoelectric device. To simultaneously recover depth information, a {liquid} lens is modulated at high speed, via a variable voltage. Consequently, during the aforementioned coding process, the liquid lens allows the camera to sweep the focus through multiple depths. In addition to designing and implementing the camera, fast recovery is achieved by an anytime algorithm exploiting the group-sparsity of wavelet/DCT coefficients.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Feb 2014.

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Citing papers per year: 2021: 10; 2022: 4; 2023: 3; 2024: 3; 2025: 0; 2026: 1.

21 papers.

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  1. 2021Plug-and-Play Algorithms for Video Snapshot Compressive Imagingcited by 42
  2. 2021Self-supervised Neural Networks for Spectral Snapshot Compressive Imagingcited by 35
  3. 2021Memory-Efficient Network for Large-scale Video Compressive Sensingcited by 30
  4. 2021MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensingcited by 29
  5. 2022Spatial-Temporal Transformer for Video Snapshot Compressive Imagingcited by 21
  6. 2023EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imagingcited by 18
  7. 2021Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Visioncited by 7
  8. 2024MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imagingcited by 7
  9. 2024Hierarchical Separable Video Transformer for Snapshot Compressive Imagingcited by 4
  10. 2022Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensingcited by 3
  11. 2022Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platformscited by 3
  12. 202110-mega pixel snapshot compressive imaging with a hybrid coded aperturecited by 2
9 more
  1. 2021Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Frameworkcited by 2
  2. 2023Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imagingcited by 2
  3. 2024SnapCap: Efficient Snapshot Compressive Video Captioningcited by 2
  4. 2021A Simple and Efficient Reconstruction Backbone for Snapshot Compressive Imagingcited by 1
  5. 2021Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Networkcited by 1
  6. 2022Motion-aware Dynamic Graph Neural Network for Video Compressive Sensingcited by 1
  7. 2021Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applicationscited by 0
  8. 2023Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensingcited by 0
  9. 2026RobustSCI: Beyond Reconstruction to Restoration for Snapshot Compressive Imaging under Real-World Degradationscited by 0