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Prince et al., 2011 - Google Patents

Probabilistic models for inference about identity

Prince et al., 2011

View PDF
Document ID
16564824014303031772
Author
Prince S
Li P
Fu Y
Mohammed U
Elder J
Publication year
Publication venue
IEEE transactions on pattern analysis and machine intelligence

External Links

Snippet

Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches. In this paper, we argue for a fundamentally different approach. We consider each …
Continue reading at citeseerx.ist.psu.edu (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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