Titlebook: Computer Analysis of Images and Patterns; 13th International C Xiaoyi Jiang,Nicolai Petkov Conference proceedings 2009 Springer-Verlag Berl

Jocose

Gaussian Weak Classifiers Based on Haar-Like Features with Four Rectangles for Real-time Face Detect rectangles (HF4s), which constitute the majority of the HFs used to train a face detector. To label an image as face or clutter (non-face), GWC uses the responses of the two HF2s in a HF4 to compute a Mahalanobis distance which is later compared to a threshold to make decisions. For a fixed accurac

Misgiving

Model Based Analysis of Face Images for Facial Feature Extractionted from a 3D wireframe model and efficiently used for different applications on a benchmark database. Features verstality is experimented on facial expressions recognition, face reognition and gender classification. We experiment different combinations of the features and find reasonable results wi

Platelet

Dynamics Analysis of Facial Expressions for Person Identificatione point tracking. Several methods have been proposed to identify persons using facial images. In most methods, variations in facial expressions are one trouble factor. However, the dynamics of facial expressions are one measure of personal characteristics. In the proposed method, facial feature poin

Landlocked

lanugo

Differential Feature Analysis for Palmprint Authentication, including the palm lines, ridges and textures, etc., are resulted from the gray scale variance of the palmprint images. This paper characterizes these variance using different order differential operations. To avoid the effect of the illumination variance, only the signs of the pixel values of the

Emmenagogue

Combining Facial Appearance and Dynamics for Face Recognitionearance feature with a recently proposed facial dynamics feature. We measure and compare the inherent discriminating power of this hybrid feature and the holistic facial appearance feature by the statistical separability between genuine feature distance and impostor feature distance. Our measurement

Frisky

Finger-Knuckle-Print Verification Based on Band-Limited Phase-Only Correlation device is developed to capture the FKP images. The local convex direction map of the FKP image is then extracted, based on which a coordinate system is defined to align the images and a region of interest (ROI) is cropped for feature extraction and matching. To match two FKPs, we present a Band-Lim

Hippocampus

NATTY

不理會(huì)

https://doi.org/10.1007/978-3-642-03767-2Markov Model; Support Vector Machine; action recognition; algorithms; biometrics; classification; data min