A New Global Alignment Method for Feature Based Image Mosaicing

  • Armağan Elibol
  • Nuno Gracias
  • Rafael Garcia
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 82)


As described in the previous chapter, global alignment requires the non-linear minimisation of an error term, which is defined from image correspondences. In this chapter, a new global alignment method is presented. It works in the mosaic frame and does not require any non-linear optimisation. The proposed method was tested with different image sequences and comparative results are shown to illustrate its performance.


Initial Estimation Image Size Global Alignment Global Frame Radial Distortion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Mathematical EngineeringYildiz Technical UniversityIstanbulTurkey
  2. 2.Computer Vision and Robotics GroupUniversity of GironaGironaSpain

Personalised recommendations