Thermophysical algebraic invariants from infrared imagery forobject recognition
Michel, J.
Nandhakumar, N.
Velten, V.
AbTech Corp., Charlottesville, VA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jan 1997
Volume: 19,
Issue: 1
On page(s): 41-51
ISSN: 0162-8828
References Cited: 30
CODEN: ITPIDJ
INSPEC Accession Number: 5493197
Digital Object Identifier: 10.1109/34.566809
Current Version Published: 2002-08-06
Abstract
An important issue in developing a model-based vision system is
the specification of features that are invariant to viewing and scene
conditions and also specific, i.e., the feature must have different
values for different classes of objects. We formulate a new approach for
establishing invariant features. Our approach is unique in the field
since it considers not just surface reflection and surface geometry in
the specification of invariant features, but it also takes into account
internal object composition and state which affect images sensed in the
nonvisible spectrum. A new type of invariance called thermophysical
invariance is defined. Features are defined such that they are functions
of only the thermophysical properties of the imaged objects. The
approach is based on a physics-based model that is derived from the
principle of the conservation of energy applied at the surface of the
imaged object
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