A New Quadratic Classifier Applied to Biometric Recognition
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Biometric Identification in Forensic Cases According to the Bayesian Approach
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Face Recognition from 2D and 3D Images
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
A Comparison of Face/Non-face Classifiers
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
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3D digital medical images are usually generated by computerized medical equipment such as CT scanners and MRI machines. Selected anatomic information and structures can be extracted as features from this type of volume data. These features, if unique enough, can be used to identify the patient. This can be viewed as a special field of biometrics-- identification of individuals using biological traits. As an example of implementation, we present a solution for same-patient decision in chest CT volume data. Our method uses the lung area profiles along the sagital, coronal and axial planes. The area profile curves of the two volume data are cross-correlated to find the best scale factors as well as the best offsets. The extension of this work is to evaluate the "goodness-of-fit" in order to classify two studies being or not from the same patient. We apply our method to 3 panels of pairs of the same patient and pairs of different patient and report classification performance.