mlsanityData to 7 Oct 2026

3D Scene Inference from Transient Histograms

arXiv 2211.05094 ↗First posted 9 Nov 2022cs.CV eess.IVcited by 6

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Abstract (arXiv)

Time-resolved image sensors that capture light at pico-to-nanosecond timescales were once limited to niche applications but are now rapidly becoming mainstream in consumer devices. We propose low-cost and low-power imaging modalities that capture scene information from minimal time-resolved image sensors with as few as one pixel. The key idea is to flood illuminate large scene patches (or the entire scene) with a pulsed light source and measure the time-resolved reflected light by integrating over the entire illuminated area. The one-dimensional measured temporal waveform, called transient, encodes both distances and albedoes at all visible scene points and as such is an aggregate proxy for the scene's 3D geometry. We explore the viability and limitations of the transient waveforms by themselves for recovering scene information, and also when combined with traditional RGB cameras. We show that plane estimation can be performed from a single transient and that using only a few more it is possible to recover a depth map of the whole scene. We also show two proof-of-concept hardware prototypes that demonstrate the feasibility of our approach for compact, mobile, and budget-limited applications.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 21 of its 42 references that are in the map. First posted on arXiv 9 Nov 2022.

Builds on

21 of 42 references.

References · 21

  1. 2021Vision Transformers for Dense Predictioncited by 1,789
  2. 2014Depth Map Prediction from a Single Image using a Multi-Scale Deep Networkcited by 1,264
  3. 2017Unsupervised Learning of Depth and Ego-Motion from Videocited by 778
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  5. 2014Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecturecited by 483
  6. 2018Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Drivingcited by 455
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  9. 2018High Quality Monocular Depth Estimation via Transfer Learningcited by 133
  10. 2019Domain-invariant Stereo Matching Networkscited by 108
  11. 2018PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Imagecited by 105
  12. 2020Guiding Monocular Depth Estimation Using Depth-Attention Volumecited by 82
9 more
  1. 2018PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Imagecited by 77
  2. 2019Deep Optics for Monocular Depth Estimation and 3D Object Detectioncited by 65
  3. 2019Deformable Kernel Networks for Joint Image Filteringcited by 59
  4. 2020Bidirectional Attention Network for Monocular Depth Estimationcited by 48
  5. 2018Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networkscited by 31
  6. 2019Asynchronous Single-Photon 3D Imagingcited by 25
  7. 2019Generating and Exploiting Probabilistic Monocular Depth Estimatescited by 18
  8. 2019Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Pathcited by 12
  9. 2020Depth Sensing Beyond LiDAR Rangecited by 10

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Cited by year

Citing papers per year: 2023: 1; 2024: 4; 2025: 1.

6 papers.