Title :
Detection and analysis of hair
Author :
Yacoob, Y. ; Davis, L.S.
Author_Institution :
Comput. Vision Lab., Maryland Univ., College Park, MD
fDate :
7/1/2006 12:00:00 AM
Abstract :
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
Keywords :
face recognition; feature extraction; image representation; object detection; automatic hair detection; hair analysis; hair appearance; image indexing; multidimensional representation; person recognition; Computational modeling; Computer vision; Detection algorithms; Face detection; Face recognition; Hair; Humans; Image databases; Image recognition; Indexing; Human identification; eigenfaces; face recognition; hair detection.; Algorithms; Artificial Intelligence; Color; Colorimetry; Computer Simulation; Hair; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Biological; Pattern Recognition, Automated;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.139
