Active Shape Models: Evaluation of a Multi-Resolution Method for Improving Image Search
Date Issued
September 1994
DOI
10.5244/C.8.32
Abstract
We describe a multi-resolution technique for locating for variable structures in images.
This is an extension of work on Active Shape Models (ASMs) - statistical models which
iteratively deform to match image data. An ASM consists of a shape model controlling a
set of landmark points, together with a statistical model of the grey-levels expected around
each landmark. Both the shape model and the grey-level models are trained on sets of
labelled example images. In order to apply a coarse-to-fine search strategy it is necessary
to train a set of grey-level models for each landmark, one for every level of a multi-resolution image pyramid. During image search the model is started on the coarsest resolution
image. As the search progresses it moves to finer and finer resolutions until no further
improvement can be made. We describe an automatic technique for deciding when to
:ss has converged. We demonstrate the
ntitative experiments which show a sigi speed and quality of fit compared to previous methods.
This is an extension of work on Active Shape Models (ASMs) - statistical models which
iteratively deform to match image data. An ASM consists of a shape model controlling a
set of landmark points, together with a statistical model of the grey-levels expected around
each landmark. Both the shape model and the grey-level models are trained on sets of
labelled example images. In order to apply a coarse-to-fine search strategy it is necessary
to train a set of grey-level models for each landmark, one for every level of a multi-resolution image pyramid. During image search the model is started on the coarsest resolution
image. As the search progresses it moves to finer and finer resolutions until no further
improvement can be made. We describe an automatic technique for deciding when to
:ss has converged. We demonstrate the
ntitative experiments which show a sigi speed and quality of fit compared to previous methods.
File(s)![Thumbnail Image]()
Name
bmvc-94-032.pdf
Size
2.59 MB
Format
Adobe PDF
Checksum (MD5)
1ed63311fd8b2f8e01ae85aadf93a565