Abstract

This paper describes a technique for building compact models of the shape and appearance of flexible objects seen in 2-D images. The models are derived from the statistics of sets of labelled images of example objects. Each model consists of a flexible shape template, describing how important points of the object can vary, and a statistical model of the expected grey levels in regions around each model 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 application.

Keywords

Computer sciencePoint (geometry)Variety (cybernetics)Object (grammar)Artificial intelligenceGrey levelImage (mathematics)Computer visionPattern recognition (psychology)Data miningMathematicsGeometry

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Publication Info

Year
2002
Type
article
Pages
242-246
Citations
94
Access
Closed

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T.F. Cootes, Chris Taylor, Andreas Lanitis et al. (2002). Building and using flexible models incorporating grey-level information. , 242-246. https://doi.org/10.1109/iccv.1993.378212

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DOI
10.1109/iccv.1993.378212