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Found 7 papers, 4 papers with code
3D Reconstruction and Alignment by Consumer RGB-D Sensors and Fiducial Planar Markers for Patient Positioning in Radiation Therapy
METHODS: The proposed method relies on a 3D reconstruction approach that fuses, in real-time, artificial and natural visual landmarks recorded from a hand-held RGB-D sensor.
Simultaneous Multi-View Camera Pose Estimation and Object Tracking with Square Planar Markers
From a video sequence showing a rigid set of planar markers recorded from multiple cameras, the proposed method is able to automatically obtain the three-dimensional configuration of the markers, the extrinsic parameters of the cameras, and the relative pose between the markers and the cameras at each frame.
Detection of Binary Square Fiducial Markers Using an Event Camera
We detect the edges of the markers by detecting line segments in an image created from events in the current packet.
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
In this work, we address this problem, defined here as the estimation of both vertical (tilt/pitch) and horizontal (pan/yaw) angles, through the use of a single Convolutional Neural Network (ConvNet) model, trying to balance precision and inference speed in order to maximize its usability in real-world applications.
Joint Scene and Object Tracking for Cost-Effective Augmented Reality Assisted Patient Positioning in Radiation Therapy
Up to our knowledge, this is the first framework that can be employed for mobile interactive AR to guide patient positioning.
3D human pose estimation from depth maps using a deep combination of poses
This work addresses the problem of 3D human pose estimation from depth maps employing a Deep Learning approach.
Mapping and Localization from Planar Markers
Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of them for which their relative pose is known beforehand.
