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

Cheng Hung Lin, Wen Jui Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020737
DOIs
Publication statusPublished - 2016 Jul 25
Externally publishedYes
Event3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan
Duration: 2016 May 272016 May 30

Publication series

Name2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Other

Other3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
CountryTaiwan
CityNantou County
Period16/5/2716/5/30

Keywords

  • graphic processing units
  • Omni-directional camera
  • panoramic image
  • parallelism

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Media Technology
  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Lin, C. H., & Chou, W. J. (2016). Acceleration of the transformation from elliptic omnidirectional images to panoramic images using graphic processing units. In 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 [7520975] (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2016.7520975