Feature Point Detection under Extreme Lighting Conditions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU98185" target="_blank" >RIV/00216305:26230/12:PU98185 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Feature Point Detection under Extreme Lighting Conditions

Original language description

This paper evaluates the suitability of tone-mapped high dynamic range imagery for feature point detection under extreme lighting conditions. The conditions are extreme in respect to the dynamic range of the lighting within the test scenes used. This dynamic range cannot be captured using standard low dynamic range imagery techniques without loss of detail. Four widely used feature point detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST and Fast Hessian. Their repeatabilityrate is studied under changes of camera viewpoint, camera distance and scene lighting with respect to the image formats used. The results of the experiments show which image formats perform best and what the most appropriate scenarios for their use are.Data used in the experiments is available.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2012

Confidentiality

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

Article name in the collection

Spring Conference on Computer Graphics

ISBN

978-80-223-3211-8

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

156-163

Publisher name

Comenius University in Bratislava

Place of publication

Smolenice

Event location

Smolenice

Event date

May 2, 2012

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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