Privacy operating characteristic for privacy protection in surveillance applications

Lecture Notes in Computer Science

Volumn 3546, Issue , 2005, Pages 869-878

  Phillips, P Jonathon ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; DATA PRIVACY; PATTERN RECOGNITION; SOCIAL ASPECTS;

POLICY MAKERS; PRIVACY OPERATING CHARACTERISTIC (POC); QUANTITATIVE MEASURES; SURVEILLANCE SYSTEMS;

SECURITY OF DATA;

EID: 26444533425     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11527923_91     Document Type: Conference Paper

References (5)

1. Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cognitive Neuroscience 3 (1991) 71-86
2. Newton, E., Sweeney, L., Malin, B.: Preserving privacy by de-identifying facial image. IEEE trans. Knowledge and Data Engineering 17 (2005) 232-243
3. Phillips, P.J., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. PAMI 22 (2000) 1090-1104
4. Kirby, M., Sirovich, L.: Application of the karhunen-loeve procedure for the characterization of human faces. IEEE Trans. PAMI 12 (1990) 103-108
5. Moon, H., Phillips, P.J.: Computational and performance aspects of PCA-based face-recognition algorithms. Perception 30 (2001) 303-321