# A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms

arXiv: https://arxiv.org/abs/1701.07372 · HTML: https://mlsanity.com/paper/1701.07372/

## Key facts

- Cited by 17 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Jan 2017.

## Built on by (most cited first, 17 of 17)

- [HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media](https://mlsanity.com/paper/2110.07235/) (2021)
- [Markerless human pose estimation for biomedical applications: a survey](https://mlsanity.com/paper/2308.00519/) (2023)
- [Anatomy-guided domain adaptation for 3D in-bed human pose estimation](https://mlsanity.com/paper/2211.12193/) (2022)
- [Creating a Digital Twin of Spinal Surgery: A Proof of Concept](https://mlsanity.com/paper/2403.16736/) (2024)
- [Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room](https://mlsanity.com/paper/2108.11801/) (2021)
- [3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections](https://mlsanity.com/paper/2210.11826/) (2022)
- [SurgMAE: Masked Autoencoders for Long Surgical Video Analysis](https://mlsanity.com/paper/2305.11451/) (2023)
- [Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures](https://mlsanity.com/paper/2106.15309/) (2021)
- [Multi-Modal Unsupervised Pre-Training for Surgical Operating Room Workflow Analysis](https://mlsanity.com/paper/2207.07894/) (2022)
- [Self-supervised 3D Patient Modeling with Multi-modal Attentive Fusion](https://mlsanity.com/paper/2403.03217/) (2024)
- [VoxelKeypointFusion: Generalizable Multi-View Multi-Person Pose Estimation](https://mlsanity.com/paper/2410.18723/) (2024)
- [Multimodal Active Measurement for Human Mesh Recovery in Close Proximity](https://mlsanity.com/paper/2310.08116/) (2023)
- [SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images](https://mlsanity.com/paper/2501.18478/) (2025)
- [Enhancing Surgical Performance in Cardiothoracic Surgery with Innovations from Computer Vision and Artificial Intelligence: A Narrative Review](https://mlsanity.com/paper/2402.11288/) (2024)
- [Self-supervised Learning via Cluster Distance Prediction for Operating Room Context Awareness](https://mlsanity.com/paper/2407.05448/) (2024)
- [Enhancing Screen Time Identification in Children with a Multi-View Vision Language Model and Screen Time Tracker](https://mlsanity.com/paper/2410.01966/) (2024)
- [DeProPose: Deficiency-Proof 3D Human Pose Estimation via Adaptive Multi-View Fusion](https://mlsanity.com/paper/2502.16419/) (2025)

## Abstract (arXiv)

Many approaches have been proposed for human pose estimation in single and multi-view RGB images. However, some environments, such as the operating room, are still very challenging for state-of-the-art RGB methods. In this paper, we propose an approach for multi-view 3D human pose estimation from RGB-D images and demonstrate the benefits of using the additional depth channel for pose refinement beyond its use for the generation of improved features. The proposed method permits the joint detection and estimation of the poses without knowing a priori the number of persons present in the scene. We evaluate this approach on a novel multi-view RGB-D dataset acquired during live surgeries and annotated with ground truth 3D poses.