A parallel root-finding method for omnidirectional image unwrapping

Nguan Soon Chong, M. L. Dennis Wong, Yau Hee Kho

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

Abstract

The panoramic unwrapping of catadioptric omnidirectional view (COV) sensors have mostly relied on a precomputed mapping look-up table due to an expensive computational load that generally has its bottleneck occur at solving a sextic polynomial. However, this approach causes a limitation to the viewpoint dynamics as runtime modifications to the mapping values are not allowed in the implementation. In this paper, a parallel root-finding technique using Compute Unified Device Architecture (CUDA) platform is proposed. The proposed method enables on-the-fly computation of the mapping look-up table thus facilitate in a real-time viewpoint adjustable panoramic unwrapping. Experimental results showed that the proposed implementation incurred minimum computational load, and performed at 10.3 times and 2.3 times the speed of a current generation central processing unit (CPU) respectively on a single-core and multi-core environment.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Visual Communications and Image Processing
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Visual Communications and Image Processing - Kuching, Sarawak, Malaysia
Duration: 17 Nov 201320 Nov 2013

Conference

Conference2013 IEEE International Conference on Visual Communications and Image Processing
Abbreviated titleIEEE VCIP 2013
CountryMalaysia
CityKuching, Sarawak
Period17/11/1320/11/13

Keywords

  • CPU
  • CUDA
  • GPU
  • Image unwrapping
  • Multi-core
  • Omnidirectional Sensor
  • Parallelisation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Chong, N. S., Wong, M. L. D., & Kho, Y. H. (2013). A parallel root-finding method for omnidirectional image unwrapping. In 2013 IEEE International Conference on Visual Communications and Image Processing [6706340] https://doi.org/10.1109/VCIP.2013.6706340