3D Single-object Recognition in Photographs
The method of recognizing a 3D object depends on the properties of an object. For simplicity, many existing algorithms have focused on recognizing rigid objects consisting of a single part, that is, objects whose spatial transformation is a Euclidean motion. Two general approaches have been taken to the problem: pattern recognition approaches use low-level image appearance information to locate an object, while feature-based geometric approaches construct a model for the object to be recognized, and match the model against the photograph.
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