Detection and analysis of hair

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 28; no. 7; pp. 1164 - 1169
• Main Authors: Yacoob, Y., Davis, L.S.
• Format: Journal Article
• Language: English
• Published: Los Alamitos, CA IEEE 01.07.2006; IEEE Computer Society; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Artificial Intelligence; Color; Colorimetry - methods; Computation; Computational modeling; Computer science; control theory; systems; Computer Simulation; Computer vision; Detection algorithms; eigenfaces; Exact sciences and technology; Face detection; Face recognition; Hair; Hair - anatomy & histology; Hair - physiology; hair detection; Human identification; Humans; Image databases; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image recognition; Indexing; Information Storage and Retrieval - methods; Mathematical models; Models, Biological; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Recognition; Representations; Biometrics; Image recognition; Face recognition; Image processing; Pattern recognition; Modeling; hair detection; eigenfaces; Human identification; Automatic measurement; Facies; Pattern analysis; Artificial intelligence; Principal component analysis; Indexing
• ISSN: 0162-8828; 2160-9292; 1939-3539
• DOI: 10.1109/TPAMI.2006.139

We develop computational models for measuring hair appearance for comparing different people. The models and methods developed have applications to person recognition and image indexing. An automatic hair detection algorithm is described and results reported. A multidimensional representation of hair appearance is presented and computational algorithms are described. Results on a data set of 524 subjects are reported. Identification of people using hair attributes is compared to eigenface-based recognition along with a joint, eigenface-hair-based identification