Title: Computational strategies for object recognition
Authors: Suetens, Paul ×
Fua, P
Hanson, Aj #
Issue Date: Mar-1992
Publisher: Assoc computing machinery
Series Title: Computing surveys vol:24 issue:1 pages:5-61
Abstract: This article reviews the available methods for automated identification of objects in digital images. The techniques are classified into groups according to the nature of the computational strategy used. Four classes are proposed: (1) the simplest strategies, which work on data appropriate for feature vector classification, (2) methods that match models to symbolic data structures for situations involving reliable data and complex models, (3) approaches that fit models to the photometry and are appropriate for noisy data and simple models, and (4) combinations of these strategies, which must be adopted in complex situations. Representative examples of various methods are summarized, and the classes of strategies are evaluated with respect to their appropriateness for particular applications.
ISSN: 0360-0300
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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