Search Results for author: Abdolrahim Kadkhodamohammadi

Found 5 papers, 4 papers with code

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

1 code implementation24 Aug 2018 Vinkle Srivastav, Thibaut Issenhuth, Abdolrahim Kadkhodamohammadi, Michel de Mathelin, Afshin Gangi, Nicolas Padoy

In this paper, we present the dataset, its annotations, as well as baseline results from several recent person detection and 2D/3D pose estimation methods.

3D Human Pose Estimation 3D Pose Estimation +2

A generalizable approach for multi-view 3D human pose regression

2 code implementations27 Apr 2018 Abdolrahim Kadkhodamohammadi, Nicolas Padoy

As 2D poses are collected at test time using a SV pose detector, which might generate inaccurate detections, we model its characteristics and incorporate this information during training.

3D Pose Estimation

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

1 code implementation25 Jan 2017 Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy

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.

3D Human Pose Estimation

Articulated Clinician Detection Using 3D Pictorial Structures on RGB-D Data

1 code implementation10 Feb 2016 Abdolrahim Kadkhodamohammadi, Afshin Gangi, Michel de Mathelin, Nicolas Padoy

Proposed methods for the operating room (OR) rely either on foreground estimation using a multi-camera system, which is a challenge in real ORs due to color similarities and frequent illumination changes, or on wearable sensors or markers, which are invasive and therefore difficult to introduce in the room.

Pose Estimation

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