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 aPattern recognition approaches
These methods use appearance information gathered from pre-captured or pre-computed projections of an object to match the object in the potentially cluttered scene. However, they do not take the 3D geometric constraints of the object into consideration during matching, and typically also do not handle occlusion as well as feature-based approaches. See urase and Nayar 1995and elinger and Nelson 1999Feature-based geometric approaches
Feature-based approaches work well for objects which have distinctiveReferences
* Murase, H. and S. K. Nayar: 1995, ''Visual Learning and Recognition of 3-D Objects from Appearance''. International Journal of Computer Vision 14, 5–24See also
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