Publication detail

Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points

JURÁNKOVÁ, M. HEROUT, A.

Original Title

Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points

English Title

Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points

Type

conference paper

Language

en

Original Abstract

This paper deals with the detection of orthogonal vanishing points. The aim is to efficiently cope with the clutter edges in real-life images and to determine the camera orientation in the Manhattan world reliably. We are using a modified scheme of the Cascaded Hough Transform where only one Hough space is accumulated - the space of the vanishing points. The parameterization of the vanishing points - the "diamond space" - is based on the PClines line parameterization and it is defined as a mapping of the whole real projective plane to a finite space. Our parameterization of vanishing points is in all aspects linear; it involves no goniometric or other non-linear operations and thus it is suitable for implementation in embedded chips and circuitry. 

English abstract

This paper deals with the detection of orthogonal vanishing points. The aim is to efficiently cope with the clutter edges in real-life images and to determine the camera orientation in the Manhattan world reliably. We are using a modified scheme of the Cascaded Hough Transform where only one Hough space is accumulated - the space of the vanishing points. The parameterization of the vanishing points - the "diamond space" - is based on the PClines line parameterization and it is defined as a mapping of the whole real projective plane to a finite space. Our parameterization of vanishing points is in all aspects linear; it involves no goniometric or other non-linear operations and thus it is suitable for implementation in embedded chips and circuitry. 

Keywords

parallel coordinates, vanishing points, manhattan world, cascaded hough transform

RIV year

2013

Released

15.07.2013

Publisher

The British Machine Vision Association and Society for Pattern Recognition

Location

Bristol

ISBN

1-901725-49-9

Book

Proceedings of BMVC 2013

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

1

Pages to

10

Pages count

9

Documents

BibTex


@inproceedings{BUT103536,
  author="Markéta {Juránková} and Adam {Herout}",
  title="Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points",
  annote="This paper deals with the detection of orthogonal vanishing points. The aim is to
efficiently cope with the clutter edges in real-life images and to determine the
camera orientation in the Manhattan world reliably. We are using a modified
scheme of the Cascaded Hough Transform where only one Hough space is accumulated
- the space of the vanishing points. The parameterization of the vanishing points
- the "diamond space" - is based on the PClines line parameterization and it is
defined as a mapping of the whole real projective plane to a finite space. Our
parameterization of vanishing points is in all aspects linear; it involves no
goniometric or other non-linear operations and thus it is suitable for
implementation in embedded chips and circuitry. ",
  address="The British Machine Vision Association and Society for Pattern Recognition",
  booktitle="Proceedings of BMVC 2013",
  chapter="103536",
  doi="10.5244/C.27.90",
  edition="NEUVEDEN",
  howpublished="online",
  institution="The British Machine Vision Association and Society for Pattern Recognition",
  year="2013",
  month="july",
  pages="1--10",
  publisher="The British Machine Vision Association and Society for Pattern Recognition",
  type="conference paper"
}