Literature DB >> 21869243

A metric for comparing relational descriptions.

L G Shapiro1, R M Haralick.   

Abstract

Relational models are frequently used in high-level computer vision. Finding a correspondence between a relational model and an image description is an important operation in the analysis of scenes. In this paper the process of finding the correspondence is formalized by defining a general relational distance measure that computes a numeric distance between any two relational descriptions-a model and an image description, two models, or two image descriptions. The distance measure is proved to be a metric, and is illustrated with examples of distance between object models. A variant measure used in our past studies is shown not to be a metric.

Year:  1985        PMID: 21869243     DOI: 10.1109/tpami.1985.4767621

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  2 in total

1.  An ontology-based comparative anatomy information system.

Authors:  Ravensara S Travillian; Kremena Diatchka; Tejinder K Judge; Katarzyna Wilamowska; Linda G Shapiro
Journal:  Artif Intell Med       Date:  2010-12-10       Impact factor: 5.326

2.  An approach to the anatomical correlation of species through the Foundational Model of Anatomy.

Authors:  Ravensara S Travillian; Cornelius Rosse; Linda G Shapiro
Journal:  AMIA Annu Symp Proc       Date:  2003
  2 in total

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