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Efficient omni-image unwarping using geometric symmetry

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Abstract

In order to save storage space of a pano-mapping table used in omni-image unwarping, a geometric symmetry method is proposed. First of all, this method partitions a 360° omni-image into eight 45° omni-image sectors. Then, we partition the pano-mapping table into eight regions accordingly, with each pano-mapping table region corresponding to exactly one omni-image sector. We analyze the geometric symmetry relationship among these omni-image sectors and pano-mapping table regions. We find that if we know the mapping data in any one pano-mapping table region, it is easy to calculate the mapping data of the other seven pano-mapping table regions. Thus, in the final step, we perform omni-image unwarping based on only one pano-mapping table region, which reduces pano-mapping table size by seven-eighths. Reducing the pano-mapping size is very useful for implementing omni-image unwarping in embedded systems. Experiments on TI DSP-based embedded systems indicate that the proposed method reduces seven-eighths of pano-mapping table size, and improves the unwarping speed by a factor of 2.74.

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Authors and Affiliations

  1. College of Information System and Management, National University of Defense Technology, Changsha, 410073, People’s Republic of China

    Zhihui Xiong, Wei Wang, Wei Xu & Maojun Zhang

  2. University of Alberta, Edmonton, AB, T6G 2E8, Canada

    Zhihui Xiong, Irene Cheng & Anup Basu

Authors
  1. Zhihui Xiong
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  2. Irene Cheng
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  3. Anup Basu
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  4. Wei Wang
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  5. Wei Xu
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  6. Maojun Zhang
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Correspondence to Anup Basu.

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Xiong, Z., Cheng, I., Basu, A. et al. Efficient omni-image unwarping using geometric symmetry. Machine Vision and Applications 23, 725–737 (2012). https://doi.org/10.1007/s00138-010-0312-x

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  • DOI: https://doi.org/10.1007/s00138-010-0312-x

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