Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106396" target="_blank" >RIV/00216305:26230/13:PU106396 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.5244/C.27.90" target="_blank" >http://dx.doi.org/10.5244/C.27.90</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5244/C.27.90" target="_blank" >10.5244/C.27.90</a>

Result language

angličtina

Original language name

Real Projective Plane Mapping for Detection of Orthogonal Vanishing Points

Original language description

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. 

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of BMVC 2013

ISBN

1-901725-49-9

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

1-10

Publisher name

The British Machine Vision Association and Society for Pattern Recognition

Place of publication

Bristol

Event location

Bristol

Event date

Sep 9, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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