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A Metric for Comparing Relational Descriptions
January 1985 (vol. 7 no. 1)
pp. 90-94
Linda G. Shapiro, Machine Vision International, Ann Arbor, MI 48104.
Robert M. Haralick, Machine Vision International, Ann Arbor, MI 48104.
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.
Citation:
Linda G. Shapiro, Robert M. Haralick, "A Metric for Comparing Relational Descriptions," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 7, no. 1, pp. 90-94, Jan. 1985, doi:10.1109/TPAMI.1985.4767621
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