Indexing Two-dimensional Objects Using Parametrised Geometric Features
نویسنده
چکیده
A new approach to indexing in model-based vision is introduced; using indexing features whose deformed instances are present in a number of different object models. Hypotheses are generated by matching an indexing feature with an image using a viewing transformation incorporating the deformation; the parameter values of the deformational component provide specific indices to those models related to the indexing feature.
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