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Robust Wide Baseline Stereo from Maximally Stable Extremal Regions J. Matas1,2 , O. Chum1 , M. Urban1 , T. Pajdla1 1 Center for Machine Perception, Dept. of Cybernetics, CTU Prague, Karlovo n´am 13, CZ
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Document Date: 2002-09-12 09:47:17


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City

Bombay / Vancouver / London / /

Company

Cambridge University Press / MIT Press / Pritchett / Visual Information Systems / Zisserman / /

Country

Canada / United Kingdom / India / /

Event

Company Expansion / /

Facility

University of Surrey / /

IndustryTerm

wide-baseline algorithm / wide-baseline stereo algorithms / unionfind algorithm / metal box / point algorithm / detection algorithm / computing / above algorithm / object recognition algorithms / watershed algorithm / wide-baseline algorithms / /

OperatingSystem

XP / Linux / /

Organization

Cambridge University / University of Surrey / MIT / European Union / Grant Agency of the Czech Republic / Center for Machine Perception / Pattern Analysis and Machine Intelligence / /

Person

W. Eric L. Grimson / Proc British / Tuytelaars Gool / L. Van Gool / T. Tuytelaars / Van Gool / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

wide-baseline stereo algorithms / above algorithm / Machine Vision / proposed algorithm / unionfind algorithm / object recognition algorithms / Linux / component algorithms / wide-baseline algorithms / RANSAC algorithm / Athlon XP 1600+ processor / eight point algorithm / watershed algorithm / wide-baseline algorithm / 8-point algorithm / flash / detection algorithm / two algorithms / presented algorithm / cmp / maintained using the efficient unionfind algorithm / /

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