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Key-Point Feature Detection Method for Surrounding-Field-of-View Image Applications

  • Mai Jiang
  • Qi cheng Yan
  • Cheng tao Cai
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)

Abstract

This paper describes a robust feature detection method for omni-directional image which used for target and region-of-interest (ROI) detection. The omnni-directional system can provide much larger FOV (field of view) which can support 360° of the whole environment. Firstly, we briefly introduce the back-transformation model of the omni-directional system. Then, the Harris and SIFT (scale invariant feature transform) is applied to find the key-point features of the around area. Finally, we compared the above feature detection methods (Harris and SIFT) for the omni-directional image and its corresponding unwrapping panoramic-cylindrical and solve this matching problem with some experiment and discussion.

Keywords

Omni-directional image Back-transformation model Feature detection SIFT 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Criminal Investigation DepartmentNational Police University of ChinaShenyangChina
  2. 2.Crime Investigation DepartmentPublic Security Bureau of XuhuiShanghaiChina
  3. 3.College of AutomationHarbin Engineering UniversityHarbinChina

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