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Computer vision / Shape context / Topology / Mathematical optimization / Metric geometry / Cartesian coordinate system / Dynamic programming / Metric / Distance / Mathematics / Geometry / Elementary mathematics


Using the Inner-Distance for Classification of Articulated Shapes Haibin Ling David W. Jacobs Computer Science Department, University of Maryland, College Park {hbling, djacobs}@ umiacs.umd.edu
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Document Date: 2005-03-25 20:48:17

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Cambridge / /

Company

World Scientific / MIT Press / /

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Facility

College Park / Swedish Museum of Natural History / University of Maryland / Link¨oping University / /

IndustryTerm

shortest path algorithm / shortest path algorithms / energy / /

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Top 40 / /

Organization

Link¨oping University / Link¨oping Univ. / National Science Foundation / Articulated Shapes Haibin Ling David W. Jacobs Computer Science Department / MIT / NSF / University of Maryland / College Park / U.S. Securities and Exchange Commission / /

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Model / L. Gorelick / E. Sharon / D. Geiger / M. Galun / A. Elad / L. Costa / R. Basri / D. Jacobs / A. Brandt / David W. Jacobs / /

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hB / General / /

ProvinceOrState

South Carolina / Massachusetts / /

PublishedMedium

Natural History / /

Technology

shortest path algorithm / Point Matching Algorithm / shortest path algorithms / /

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