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Global Motion Estimation: Feature-Based, Featureless, or Both ?!
 

Summary: Global Motion Estimation:
Feature-Based, Featureless, or Both ?!
Rui F.C. Guerreiro1
and Pedro M.Q. Aguiar2
1
Philips Research, Eindhoven, Netherlands
rui.guerreiro@philips.com
2
Institute for Systems and Robotics / Instituto Superior T´ecnico, Lisboa, Portugal
aguiar@isr.ist.utl.pt
Abstract. The approaches to global motion estimation have been nat-
urally classified into one of two main classes: feature-based methods and
direct (or featureless) methods. Feature-based methods compute a set of
point correspondences between the images and, from these, estimate the
parameters describing the global motion. Although the simplicity of the
second step has made this approach rather appealing, the correspondence
step is a quagmire and usually requires human supervision. In opposition,
featureless methods attempt to estimate the global motion parameters
directly from the image intensities, using complex nonlinear optimization
algorithms. In this paper, we propose an iterative scheme that combines

  

Source: Aguiar, Pedro M. Q. - Institute for Systems and Robotics (Lisbon)

 

Collections: Engineering