Foveation Pipeline for 360° Video-Based Telemedicine
Pan-tilt-zoom (PTZ) and omnidirectional cameras serve as a video-mediated communication interface for telemedicine. Most cases use either PTZ or omnidirectional cameras exclusively; even when used together, images from the two are shown separately on 2D displays. Conventional foveated imaging techni...
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doaj-9702bb92bbe5427881c8e137fea6330c2020-11-25T02:02:55ZengMDPI AGSensors1424-82202020-04-01202264226410.3390/s20082264Foveation Pipeline for 360° Video-Based TelemedicineMuhammad Firdaus Syawaludin0Myungho Lee1Jae-In Hwang2Imaging Media Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, KoreaImaging Media Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, KoreaImaging Media Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, KoreaPan-tilt-zoom (PTZ) and omnidirectional cameras serve as a video-mediated communication interface for telemedicine. Most cases use either PTZ or omnidirectional cameras exclusively; even when used together, images from the two are shown separately on 2D displays. Conventional foveated imaging techniques may offer a solution for exploiting the benefits of both cameras, i.e., the high resolution of the PTZ camera and the wide field-of-view of the omnidirectional camera, but displaying the unified image on a 2D display would reduce the benefit of “omni-” directionality. In this paper, we introduce a foveated imaging pipeline designed to support virtual reality head-mounted displays (HMDs). The pipeline consists of two parallel processes: one for estimating parameters for the integration of the two images and another for rendering images in real time. A control mechanism for placing the foveal region (i.e., high-resolution area) in the scene and zooming is also proposed. Our evaluations showed that the proposed pipeline achieved, on average, 17 frames per second when rendering the foveated view on an HMD, and showed angular resolution improvement on the foveal region compared with the omnidirectional camera view. However, the improvement was less significant when the zoom level was 8× and more. We discuss possible improvement points and future research directions.https://www.mdpi.com/1424-8220/20/8/2264HMDtelemedicinefoveationmulti-resolution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Firdaus Syawaludin Myungho Lee Jae-In Hwang |
spellingShingle |
Muhammad Firdaus Syawaludin Myungho Lee Jae-In Hwang Foveation Pipeline for 360° Video-Based Telemedicine Sensors HMD telemedicine foveation multi-resolution |
author_facet |
Muhammad Firdaus Syawaludin Myungho Lee Jae-In Hwang |
author_sort |
Muhammad Firdaus Syawaludin |
title |
Foveation Pipeline for 360° Video-Based Telemedicine |
title_short |
Foveation Pipeline for 360° Video-Based Telemedicine |
title_full |
Foveation Pipeline for 360° Video-Based Telemedicine |
title_fullStr |
Foveation Pipeline for 360° Video-Based Telemedicine |
title_full_unstemmed |
Foveation Pipeline for 360° Video-Based Telemedicine |
title_sort |
foveation pipeline for 360° video-based telemedicine |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2020-04-01 |
description |
Pan-tilt-zoom (PTZ) and omnidirectional cameras serve as a video-mediated communication interface for telemedicine. Most cases use either PTZ or omnidirectional cameras exclusively; even when used together, images from the two are shown separately on 2D displays. Conventional foveated imaging techniques may offer a solution for exploiting the benefits of both cameras, i.e., the high resolution of the PTZ camera and the wide field-of-view of the omnidirectional camera, but displaying the unified image on a 2D display would reduce the benefit of “omni-” directionality. In this paper, we introduce a foveated imaging pipeline designed to support virtual reality head-mounted displays (HMDs). The pipeline consists of two parallel processes: one for estimating parameters for the integration of the two images and another for rendering images in real time. A control mechanism for placing the foveal region (i.e., high-resolution area) in the scene and zooming is also proposed. Our evaluations showed that the proposed pipeline achieved, on average, 17 frames per second when rendering the foveated view on an HMD, and showed angular resolution improvement on the foveal region compared with the omnidirectional camera view. However, the improvement was less significant when the zoom level was 8× and more. We discuss possible improvement points and future research directions. |
topic |
HMD telemedicine foveation multi-resolution |
url |
https://www.mdpi.com/1424-8220/20/8/2264 |
work_keys_str_mv |
AT muhammadfirdaussyawaludin foveationpipelinefor360videobasedtelemedicine AT myungholee foveationpipelinefor360videobasedtelemedicine AT jaeinhwang foveationpipelinefor360videobasedtelemedicine |
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