Building and using flexible models incorporating grey-level information

T.F. Cootes; Chris Taylor; Andreas Lanitis; D. H. Cooper; James Graham

doi:10.1109/iccv.1993.378212

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

Affiliated Institutions

University of Manchester GB

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Publication Info

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

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APA Style

                            
                                    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

Identifiers

DOI: 10.1109/iccv.1993.378212