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Added intro for detectors/descriptors interface

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Victor Erukhimov
2010-06-10 16:35:05 +00:00
parent d5ef5b88f0
commit ed6e07160a
1 changed files with 9 additions and 1 deletions
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doc/cv_feature_detection.tex
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@@ -1212,7 +1212,15 @@ There is fast multi-scale Hessian keypoint detector that can be used to find the
The function can be used for object tracking and localization, image stitching etc. See the The function can be used for object tracking and localization, image stitching etc. See the
\texttt{find\_obj.cpp} demo in OpenCV samples directory. \texttt{find\_obj.cpp} demo in OpenCV samples directory.
\subsection{Common Interfaces for Feature Detection and Descriptor Extraction} \section{Common Interfaces for Feature Detection and Descriptor Extraction}
Both detectors and descriptors in OpenCV have wrappers with common interface that enables to switch easily
between different algorithms solving the same problem. All objects that implement keypoint detectors inherit
FeatureDetector interface. Descriptors that are represented as vectors in a multidimensional space can be
computed with DescriptorExtractor interface. DescriptorMatcher interface can be used to find matches between
two sets of descriptors. GenericDescriptorMatch is a more generic interface for descriptors. It does not make any
assumptions about descriptor representation. Every descriptor with DescriptorExtractor interface has a wrapper with
GenericDescriptorMatch interface (see VectorDescriptorMatch). There are descriptors such as one way descriptor and
ferns that have GenericDescriptorMatch interface implemented, but do not support DescriptorExtractor.
\cvclass{FeatureDetector} \cvclass{FeatureDetector}
Abstract base class for 2D image feature detectors. Abstract base class for 2D image feature detectors.