All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

A Kinect-based Medical Augmented Reality System for Craniofacial Applications Using Image-to-Patient Registration

Author(s): Chung-Hung Hsieh, Jiann-Der Lee, Chieh-Tsai Wu

In this study, we proposed a kinect-based medical augmented reality (AR) system for craniofacial applications.By using a Kinect sensor to acquire the surface structure of the patient, image-to-patient registration is accomplished by an Enhanced Iterative Closest Point (EICP) algorithm automatically. Moreover, a pattern-free AR scheme is designed by integrating the Kanade-Lucas-Tomasi (KLT) feature tracking and RANdom Sample Consensus (RANSAC) correction, which is better than traditional pattern-based and sensor-based AR environment. The demonstrated system was evaluated with a plastic dummy head and a human subject. Result shows that the image-to-patient registration error is around 3~4 mm, and the pattern-free AR scheme can provide smooth and accurate AR camera localization as the commercial tracking device does.


Full-Text | PDF

Share this       
izmir escort bayan izmir rus escort bursa escort bayan rus escort izmir escort porno indir porno izle mobil porno eskişehir escort burdur escort bartın escort havalandırma izmir escort bursa escort türk porno escort bayan