Automated Insect Identification through Concatenated Histograms of Local Appearance Features

Authors:
N. Larios;H. Deng;W. Zhang;M. Sarpola;J. Yuen;R. Paasch;A. Moldenke;D. A. Lytle;Ruiz Correa;E. Mortensen;L. G. Shapiro;T. G. Dietterich
Affiliations:
University of Washington;Oregon State University;Oregon State University;Oregon State University;Massachusetts Institute of Technology;Oregon State University;Oregon State University;Oregon State University;Children's National Medical Center;Oregon State University;University of Washington;Oregon State University
Venue:
WACV '07 Proceedings of the Eighth IEEE Workshop on Applications of Computer Vision
Year:
2007

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Abstract

The 3DID system has been developed to verify the identity of a person by matching a sensed 3D surface of the face to a face model stored during an enrollment process. Anchor point detection is performed based on shape index; then, a rigid alignment is ...