Considerations about saliency map from Wide Angle Fovea image

Tatsuya Yamazaki, Nobuyuki Hasebe, Sota Shimizu

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

1 Citation (Scopus)

Abstract

Wide Angle Fovea (WAF) sensor acquires images having both high resolution and wide angle simultaneously. Such an image is quite applicable for multi-purpose use of the single vision sensor. When the WAF sensor is equipped on a planetary exploring rover, it influences intuitively to the basic design and model of the rover which needs to be autonomous strongly. In this paper, the authors pay attention to difference between the saliency maps generated from the WAF image and the pinhole lens image. Thus, we compared and discussed the performance of our proposed object detection method between the WAF lens and the pinhole lens by taking into consideration characteristcs of the WAF image, i.e., non-uniform resolution throughout the entire field of view (FOV) and higher distortion in more peripheral FOV.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1330-1335
Number of pages6
ISBN (Electronic)9781509014125
DOIs
Publication statusPublished - 2017 Aug 3
Externally publishedYes
Event26th IEEE International Symposium on Industrial Electronics, ISIE 2017 - Edinburgh, Scotland, United Kingdom
Duration: 2017 Jun 182017 Jun 21

Other

Other26th IEEE International Symposium on Industrial Electronics, ISIE 2017
CountryUnited Kingdom
CityEdinburgh, Scotland
Period17/6/1817/6/21

Keywords

  • Autonomos control
  • Biologically-inspired information processing
  • Machine intelligence
  • Saliency map
  • Wide angle fovea sensor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Considerations about saliency map from Wide Angle Fovea image'. Together they form a unique fingerprint.

  • Cite this

    Yamazaki, T., Hasebe, N., & Shimizu, S. (2017). Considerations about saliency map from Wide Angle Fovea image. In Proceedings - 2017 IEEE International Symposium on Industrial Electronics, ISIE 2017 (pp. 1330-1335). [8001438] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2017.8001438