Acceleration of the transformation from elliptic omnidirectional images to panoramic images using graphic processing units

Cheng Hung Lin, Wen Jui Chou

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

Omni-directional cameras are widely used in many applications such as surveillance systems and endoscopy. Omnidirectional cameras use a single camera and a reflective mirror to capture elliptic omnidirectional images and then transform the elliptic omnidirectional images to panoramic images. To accelerate the transformation from elliptic omnidirectional images to panoramic images, this paper proposes a hierarchical parallelism including data parallelism and task parallelism to improve the performance of transformation using graphic processing units. The data parallelism accelerates the mapping of pixels from elliptic omnidirectional images to panoramic images using multiple threads simultaneously while the task parallelism performs deep pipelines on multiple streams. We have implemented the proposed algorithm using CUDA on NVIDIA GPUs. The experimental results show that the proposed hierarchical parallelism performed on GPUs achieves 6.33 times faster than the CPU counterpart does.

原文英語
主出版物標題2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509020737
DOIs
出版狀態已發佈 - 2016 七月 25
事件3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, 臺灣
持續時間: 2016 五月 272016 五月 30

出版系列

名字2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

其他

其他3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
國家/地區臺灣
城市Nantou County
期間2016/05/272016/05/30

ASJC Scopus subject areas

  • 電腦科學應用
  • 電氣與電子工程
  • 媒體技術
  • 電腦網路與通信
  • 訊號處理

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