Robust Recognition of Planar Mirrored Walls Using a Single View Conference Paper

abstract

• We report a method for the detection and recognition of a large planar mirror based on the images captured by a monocular camera. We start with deriving a mirror transformation matrix in a homogeneous coordinate and geometric constraints for corresponding real and virtual feature points in the image. We find that existing feature detection methods are not reflection invariant. We introduce a secondary artificial reflection to virtual features to generate secondary features which are proven to share a rigid body motion relationship with the original feature set. We propose an iterative strategy to adjust the secondary mirror configuration so that existing feature matching methods can be used. The combined method yields a robust mirror detection algorithm which has been verified in physical experiments. 2011 IEEE.

name of conference

• 2011 IEEE International Conference on Robotics and Automation

authors

• Song, Dezhen

published proceedings

• 2011 IEEE International Conference on Robotics and Automation

author list (cited authors)

• Agha-mohammadi, A., & Song, D.

citation count

• 7

complete list of authors

• Agha-mohammadi, Ali-akbar||Song, Dezhen

publication date

• May 2011

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Conference on Robotics and Automation  Journal

Digital Object Identifier (DOI)

• 10.1109/icra.2011.5980211

International Standard Book Number (ISBN) 13

• 9781612843865

start page

• 1186

end page

• 1191

URL

• http://dx.doi.org/10.1109/icra.2011.5980211