Next Article in Journal
Low Delay Video Streaming on the Internet of Things Using Raspberry Pi
Next Article in Special Issue
Automatic Measurement of Chew Count and Chewing Rate during Food Intake
Previous Article in Journal
A Robust Automated Cataract Detection Algorithm Using Diagnostic Opinion Based Parameter Thresholding for Telemedicine Application
Previous Article in Special Issue
Miniaturized Blood Pressure Telemetry System with RFID Interface
Article Menu

Export Article

Open AccessArticle
Electronics 2016, 5(3), 59; doi:10.3390/electronics5030059

Robust and Accurate Algorithm for Wearable Stereoscopic Augmented Reality with Three Indistinguishable Markers

1
EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa 56124, Italy
2
1st Orthopedic Division, University of Pisa, Pisa 56125, Italy
3
Vascular Surgery Unit, Azienda Ospedaliero Universitaria Pisana, Pisa 56126, Italy
4
Information Engineering Department, University of Pisa, Pisa 56122, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Enzo Pasquale Scilingo and Gaetano Valenza
Received: 18 May 2016 / Revised: 8 September 2016 / Accepted: 9 September 2016 / Published: 19 September 2016
View Full-Text   |   Download PDF [3999 KB, uploaded 19 September 2016]   |  

Abstract

In the context of surgical navigation systems based on augmented reality (AR), the key challenge is to ensure the highest degree of realism in merging computer-generated elements with live views of the surgical scene. This paper presents an algorithm suited for wearable stereoscopic augmented reality video see-through systems for use in a clinical scenario. A video-based tracking solution is proposed that relies on stereo localization of three monochromatic markers rigidly constrained to the scene. A PnP-based optimization step is introduced to refine separately the pose of the two cameras. Video-based tracking methods using monochromatic markers are robust to non-controllable and/or inconsistent lighting conditions. The two-stage camera pose estimation algorithm provides sub-pixel registration accuracy. From a technological and an ergonomic standpoint, the proposed approach represents an effective solution to the implementation of wearable AR-based surgical navigation systems wherever rigid anatomies are involved. View Full-Text
Keywords: augmented reality; wearable displays; image-guided surgery; machine vision; camera calibration augmented reality; wearable displays; image-guided surgery; machine vision; camera calibration
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Cutolo, F.; Freschi, C.; Mascioli, S.; Parchi, P.D.; Ferrari, M.; Ferrari, V. Robust and Accurate Algorithm for Wearable Stereoscopic Augmented Reality with Three Indistinguishable Markers. Electronics 2016, 5, 59.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Electronics EISSN 2079-9292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top