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Automatic and Robust Infrared-Visible Image Sequence Registration via Spatio-Temporal Association.

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  • 1Image Engineering & Video Technology Lab, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China. zhaobq94@163.com.

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This study introduces a novel algorithm for infrared-visible image registration, improving accuracy by using spatio-temporal associations. The method enhances registration overlapping errors compared to existing techniques.

Keywords:
FAST cornerforeground contourimage registrationreservoirspatial location distributiontemporal motion information

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Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Infrared-visible image registration faces challenges with significant gray value differences and inaccurate feature positioning.
  • Existing methods often struggle with robustness and precision in complex scenarios.

Purpose of the Study:

  • To develop an automatic and robust algorithm for registering planar infrared-visible image sequences.
  • To address limitations in gray value differences and feature positioning accuracy.

Main Methods:

  • Spatio-temporal association using motion vector distribution descriptors for coarse registration.
  • FAST corner extraction and bidirectional optimal maximum strategy for precise feature matching.
  • Better-In, Worse-Out (BIWO) strategy for optimal global transformation matrix estimation.

Main Results:

  • The proposed algorithm demonstrates effectiveness on the LITIV dataset.
  • Achieved lower registration overlapping errors compared to two state-of-the-art methods.
  • Successfully performs coarse and precise registration without extensive feature extraction.

Conclusions:

  • The spatio-temporal association approach offers a robust solution for infrared-visible image registration.
  • The algorithm provides improved accuracy and efficiency for image sequence registration.
  • This method is effective in handling challenges posed by differing gray values and feature inaccuracies.