mlsanityData to 14 Oct 2026

Active Stereo Without Pattern Projector

arXiv 2309.12315 ↗First posted 21 Sep 2023cs.CVcited by 8

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Abstract (arXiv)

This paper proposes a novel framework integrating the principles of active stereo in standard passive camera systems without a physical pattern projector. We virtually project a pattern over the left and right images according to the sparse measurements obtained from a depth sensor. Any such devices can be seamlessly plugged into our framework, allowing for the deployment of a virtual active stereo setup in any possible environment, overcoming the limitation of pattern projectors, such as limited working range or environmental conditions. Experiments on indoor/outdoor datasets, featuring both long and close-range, support the seamless effectiveness of our approach, boosting the accuracy of both stereo algorithms and deep networks.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 61 of its 97 references that are in the map. First posted on arXiv 21 Sep 2023.

Builds on

61 of 97 references.

References · 61

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,415
  3. 2015A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimationcited by 881
  4. 2018Pyramid Stereo Matching Networkcited by 489
  5. 2017End-to-End Learning of Geometry and Context for Deep Stereo Regressioncited by 360
  6. 2021RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matchingcited by 353
  7. 2022Unifying Flow, Stereo and Depth Estimationcited by 275
  8. 2019GA-Net: Guided Aggregation Net for End-to-end Stereo Matchingcited by 244
  9. 2019Group-wise Correlation Stereo Networkcited by 235
  10. 2022Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlationcited by 197
  11. 2020Non-Local Spatial Propagation Network for Depth Completioncited by 195
  12. 2020Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformerscited by 190
38 more
  1. 2020Hierarchical Neural Architecture Search for Deep Stereo Matchingcited by 166
  2. 2021CFNet: Cascade and Fused Cost Volume for Robust Stereo Matchingcited by 154
  3. 2015Stereo Matching by Training a Convolutional Neural Network to Compare Image Patchescited by 151
  4. 2021PENet: Towards Precise and Efficient Image Guided Depth Completioncited by 146
  5. 2018Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Cameracited by 140
  6. 2018Learning Depth with Convolutional Spatial Propagation Networkcited by 136
  7. 2019Hierarchical Deep Stereo Matching on High-resolution Imagescited by 126
  8. 2020HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matchingcited by 120
  9. 2019DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatchcited by 114
  10. 2018Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Networkcited by 110
  11. 2019Domain-invariant Stereo Matching Networkscited by 109
  12. 2018Hierarchical Discrete Distribution Decomposition for Match Density Estimationcited by 93
  13. 2023CompletionFormer: Depth Completion with Convolutions and Vision Transformerscited by 93
  14. 2018StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Predictioncited by 88
  15. 2018SegStereo: Exploiting Semantic Information for Disparity Estimationcited by 88
  16. 2017Intel RealSense Stereoscopic Depth Camerascited by 83
  17. 2018Real-time self-adaptive deep stereocited by 80
  18. 2020Learning Joint 2D-3D Representations for Depth Completioncited by 71
  19. 2022Dynamic Spatial Propagation Network for Depth Completioncited by 71
  20. 2017Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matchingcited by 63
  21. 2018Anytime Stereo Image Depth Estimation on Mobile Devicescited by 54
  22. 2022Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspectivecited by 46
  23. 2023NeRF-Supervised Deep Stereocited by 46
  24. 2020Learning Stereo from Single Imagescited by 45
  25. 2020Depth Estimation from Monocular Images and Sparse Radar Datacited by 44
  26. 2022GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Featurecited by 43
  27. 2019Learning to Adapt for Stereocited by 42
  28. 2022ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networkscited by 39
  29. 2022Context-Enhanced Stereo Transformercited by 37
  30. 2020Reversing the cycle: self-supervised deep stereo through enhanced monocular distillationcited by 34
  31. 2017Self-Supervised Learning for Stereo Matching with Self-Improving Abilitycited by 32
  32. 2018EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matchingcited by 32
  33. 2020Matching-space Stereo Networks for Cross-domain Generalizationcited by 32
  34. 2019Noise-Aware Unsupervised Deep Lidar-Stereo Fusioncited by 31
  35. 2019AutoDispNet: Improving Disparity Estimation With AutoMLcited by 29
  36. 2022Sparsity Agnostic Depth Completioncited by 27
  37. 2019Guided Stereo Matchingcited by 24
  38. 2019Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondencecited by 23

50 most cited of 61 All 61 (JSON)

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Cited by year

Citing papers per year: 2023: 1; 2024: 6; 2025: 1.

8 papers.

  1. 2024Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Failcited by 47
  2. 2024A Survey on Deep Stereo Matching in the Twentiescited by 23
  3. 2023Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalizationcited by 18
  4. 2024RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methodscited by 8
  5. 2024LiDAR-Event Stereo Fusion with Hallucinationscited by 7
  6. 2024GS-ProCams: Gaussian Splatting-based Projector-Camera Systemscited by 6
  7. 2024Active Stereo in the Wild through Virtual Pattern Projectioncited by 0
  8. 2025Preserving Guidance in Cost-Volume Retrieval under Extreme LiDAR Sparsity in Iterative Stereocited by 0