mlsanityData to 7 Oct 2026

End-to-End 3D Hand Pose Estimation from Stereo Cameras

arXiv 2206.01384 ↗First posted 3 Jun 2022cs.CVcited by 1

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Abstract (arXiv)

This work proposes an end-to-end approach to estimate full 3D hand pose from stereo cameras. Most existing methods of estimating hand pose from stereo cameras apply stereo matching to obtain depth map and use depth-based solution to estimate hand pose. In contrast, we propose to bypass the stereo matching and directly estimate the 3D hand pose from the stereo image pairs. The proposed neural network architecture extends from any keypoint predictor to estimate the sparse disparity of the hand joints. In order to effectively train the model, we propose a large scale synthetic dataset that is composed of stereo image pairs and ground truth 3D hand pose annotations. Experiments show that the proposed approach outperforms the existing methods based on the stereo depth.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 19 of its 35 references that are in the map. First posted on arXiv 3 Jun 2022.

Builds on

19 of 35 references.

References · 19

  1. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
  2. 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
  3. 2018Simple Baselines for Human Pose Estimation and Trackingcited by 502
  4. 2018AMC: AutoML for Model Compression and Acceleration on Mobile Devicescited by 375
  5. 2017End-to-End Learning of Geometry and Context for Deep Stereo Regressioncited by 359
  6. 2016Convolutional Pose Machinescited by 325
  7. 2017Learning to Estimate 3D Hand Pose from Single RGB Imagescited by 234
  8. 20193D Hand Shape and Pose Estimation from a Single RGB Imagecited by 174
  9. 2017GANerated Hands for Real-time 3D Hand Tracking from Monocular RGBcited by 147
  10. 2015Capturing Hands in Action using Discriminative Salient Points and Physics Simulationcited by 115
  11. 2018Cross-modal Deep Variational Hand Pose Estimationcited by 89
  12. 2017Using a single RGB frame for real time 3D hand pose estimation in the wildcited by 39
7 more
  1. 2018Single View Stereo Matchingcited by 39
  2. 20163D Hand Pose Tracking and Estimation Using Stereo Matchingcited by 35
  3. 2016Training a Feedback Loop for Hand Pose Estimationcited by 21
  4. 2017Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimationcited by 11
  5. 2018RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Imagescited by 10
  6. 2016Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimationcited by 8
  7. 2017Back to RGB: 3D tracking of hands and hand-object interactions based on short-baseline stereocited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026ESTHER: Egocentric Stereo Hand Estimation and Reconstruction in the Wildcited by 0