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A volumetric/iconic frequency domain representation for objects with application for pose invariant face recognition
Ben-Arie J., Nandy D. IEEE Transactions on Pattern Analysis and Machine Intelligence20 (5):449-457,1998.Type:Article
Date Reviewed: Apr 1 1999

The authors address the difficult problem of representing a three-dimensional object so that it can be efficiently recognized from any view (that is, without requiring a search through all possible views). The paper describes a representation based on the three-dimensional Fourier transform of the 3D object and an indexing technique to find the best match when given a 2D image. This technique is applied to the problem of face recognition and pose estimation (that is, whose face it is and which way the head is turned). Results are shown on a test dataset that has been used by other researchers. The technique does not eliminate the problem of searching through a number of views, with recognition requiring five minutes on moderate-sized datasets. The representation and matching scheme will also interest researchers in other problem domains where 3D models are available and the pose of the object is not given.

Reviewer:  Keith Price Review #: CR121925 (9904-0295)
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Volumetric (I.4.10 ... )
 
 
Invariants (I.4.7 ... )
 
 
Applications (I.4.9 )
 
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