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Geometry / Feature detection / Segmentation / Edge detection / Illusory contours / Contour line / Mathematics / Image processing / Computer vision / Vision


Using Contours to Detect and Localize Junctions in Natural Images Michael Maire1 , Pablo ArbelĀ“aez1 , Charless Fowlkes2, and Jitendra Malik1 1 University of California, Berkeley - Berkeley, CA[removed]University of Cali
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Document Date: 2008-04-07 21:08:44


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File Size: 1,85 MB

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Company

Cambridge University Press / Kubota / /

Country

United Kingdom / /

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Event

Product Recall / Product Issues / /

Facility

University of California / /

IndustryTerm

boundary operator / mass-spring systems / junction detection algorithms / junction detection algorithm / image processing / junction localization algorithm / local energy / detection algorithm / greedy approximate solution / energy / /

MarketIndex

BSDS / /

Organization

Cambridge University / UC Berkeley / University of California / Berkeley / University of California / Irvine / /

Person

P. Perona / D. Martin / Z. Tu / X. Ren / Q. Zhu / J. Shi / G. Song / J. Malik Finding / T. Leung / Harris / Pablo Arbel / S. Belongie / C. Fowlkes / /

Position

neural model for illusory contour shape and salience / local signal mP / mP / variants mP / signals mP / /

Product

Pentax K-x Digital Camera / regime / /

PublishedMedium

Communications on Pure and Applied Mathematics / /

Technology

EM-style algorithm / Normalized Cuts algorithm / junction localization algorithm / junction detection algorithm / image processing / detection algorithm / benchmarking junction detection algorithms / /

URL

http /

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