Erman Nghonda Tchinda, Danielle Tchuinkou Kwadjo, C. Bobda
{"title":"Work-in-Progress: A Distributed Smart Camera Apparatus to Enable Scene Immersion","authors":"Erman Nghonda Tchinda, Danielle Tchuinkou Kwadjo, C. Bobda","doi":"10.1145/3349567.3351716","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the potential of an immersion technology system implemented on embedded devices. Our system consists of distributed smart cameras with overlapping views, covering numerous viewpoints of a monitored scene so that each smart camera knows the position of its neighbors. The system provides an on-demand panoramic field-of-view (FOV) in real-time. To generate the panoramic view, we design and implement an image stitching system using images captured from a subset of adjacent embedded cameras. We verify the effectiveness of our method in terms of quality of result (QoR) and computation efficiency. Initial results show up 12 FPS with 8MP cameras.","PeriodicalId":194982,"journal":{"name":"2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3349567.3351716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we investigate the potential of an immersion technology system implemented on embedded devices. Our system consists of distributed smart cameras with overlapping views, covering numerous viewpoints of a monitored scene so that each smart camera knows the position of its neighbors. The system provides an on-demand panoramic field-of-view (FOV) in real-time. To generate the panoramic view, we design and implement an image stitching system using images captured from a subset of adjacent embedded cameras. We verify the effectiveness of our method in terms of quality of result (QoR) and computation efficiency. Initial results show up 12 FPS with 8MP cameras.