Rapid invocation and matching of 3D models to 2D images using curvilinear data

P. McAndrew, A. M. Wallace

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


In 2D images of 3D objects it is not possible to account for 3D viewpoint invariance as those invariant relations cannot be found. Therefore, a process of rapid hypothesis and verification is required in which the perceptual groupings of curvilinear features provide the hypotheses for verification by back-projection of the model data. In this paper, we present one approach to this latter cycle, using model representations having both straight and curved elements. We have described a practical approach to match 2D scenes to 3D models in which the scene data is described as a set of curvilinear features extracted from a grey scale image of a rigid object taken from an arbitrary viewpoint, and the model data is derived from a CSG modeller.

Original languageEnglish
Pages (from-to)83-87
Number of pages5
JournalIEE Conference Publication
Issue number307
Publication statusPublished - 1989
Event3rd International Conference on Image Processing and its Applications - Coventry, United Kingdom
Duration: 18 Jul 198920 Jul 1989


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