Precision Mosaicking of Multi-images Based on Conic-Epipolar Constraint

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 298)

Abstract

In this paper a robust mosaic method based on conic-epipolar constraint is proposed. The main characteristics of the proposed method include: (1) Several new methods are presented to realize fast and accurate interest points extraction under various different scenes, including SURF based feature points detection, interest points selection based on uniform distribution. (2) the transformation parameters are estimated using the invariant of conic-epipolar constraint and the most “useful” matching points are used to register the images. Experiment results illustrate that the proposed algorithm carries out real-time image registration and is robust to large image translation, scaling and rotation.

Keywords

Image mosaic Image registration Multi-images Conic-epipolar constraint 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Electronic and Control EngineeringChang’an UniversityXi’anChina
  2. 2.School of Aerospace Science and TechnologyXidian UniversityXi’anChina

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