Abstract
This paper describes a technique for building compact models of the shape
and appearance of flexible objects seen in two-dimensional images. The models are
derived from the statistics of sets of images of example objects with 'landmark' points
labelled on each object. Each model consists of a flexible shape template, describing how
the landmarh points can vary, and a statistical model of the expected grey levels in
regions around each point. Such models have proved useful in a wide variety of
applications. We describe how the models can be used in local image search and give
examples of their applicarion.
and appearance of flexible objects seen in two-dimensional images. The models are
derived from the statistics of sets of images of example objects with 'landmark' points
labelled on each object. Each model consists of a flexible shape template, describing how
the landmarh points can vary, and a statistical model of the expected grey levels in
regions around each point. Such models have proved useful in a wide variety of
applications. We describe how the models can be used in local image search and give
examples of their applicarion.
Original language | English |
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Title of host publication | Advances in Applied Statistics |
Place of Publication | Abingdon |
Publisher | Carfax Publishing Ltd |
Pages | 111-139 |
Number of pages | 29 |
Volume | 21 |
Edition | 1-2 |
ISBN (Electronic) | 1360-0532 |
ISBN (Print) | 0266-476 |
Publication status | Published - 1994 |
Keywords
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