Open World Face Recognition with Credibility and Confidence Measures [chapter]

Fayin Li, Harry Wechsler
2003 Lecture Notes in Computer Science  
This paper describes a novel framework for the Open World face recognition problem, where one has to provide for the Reject option. Based upon algorithmic randomness and transduction, a particular form of induction, we describe the TCM-kNN (Transduction Confidence Machine -kNearest Neighbor) algorithm for Open World face recognition. The algorithm proposed performs much better than PCA and is comparable with Fisherfaces. In addition to recognition and rejection, the algorithm can assign
more » ... ity ("likelihood") and confidence ("lack of ambiguity") measures with the identification decisions taken.
doi:10.1007/3-540-44887-x_55 fatcat:oeagrncctbbs5pby4ckxklvlh4