Titlebook: Audio-and Video-Based Biometric Person Authentication; 4th International Co Josef Kittler,Mark S. Nixon Conference proceedings 2003 Springe

欢乐中国

Acetabulum

Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognitionion and use a two-parameter regularization scheme for the within-class scatter matrix. The novelty of the proposed method comes from: (1) Wavelet transform with linear computation complexity is used to carry out the preliminary dimensionality reduction instead of employing a principal component anal

eustachian-tube

Face Tracking and Recognition from Stereo Sequencetereo and intensity pairs, pose can be detected and tracked. Face images, which are suitable for recognition, from stereo sequence can be selected automatically based on the pose. Then the straightforward Fisherface is carried out on the selected face images. Results of the tracking and recognition

碎片

绅士

Form und Vielfalt der Galaxien,e score is removed and mean and standard deviation estimations are recalculated. When there are only a few utterances to estimate mean and variance, this method leads to a great improvement. Text dependent and text independent experiments have been carried out by using a telephonic multisession data

Vulnerary

https://doi.org/10.1007/978-3-663-01904-6me speech class, we could expect that the DTW distortion measure can capture the speaker specific characteristics. The novelty of the proposed method is the combination of the DTW distortion measure with data-driven segmentation tools. The first experimental results of the proposed method, in terms

令人苦恼

GUILE

Automatic Estimation of a Priori Speaker Dependent Thresholds in Speaker Verificatione score is removed and mean and standard deviation estimations are recalculated. When there are only a few utterances to estimate mean and variance, this method leads to a great improvement. Text dependent and text independent experiments have been carried out by using a telephonic multisession data

Callus

Searching through a Speech Memory for Text-Independent Speaker Verificationme speech class, we could expect that the DTW distortion measure can capture the speaker specific characteristics. The novelty of the proposed method is the combination of the DTW distortion measure with data-driven segmentation tools. The first experimental results of the proposed method, in terms

噱头

Audio-and Video-Based Biometric Person Authentication978-3-540-44887-7Series ISSN 0302-9743 Series E-ISSN 1611-3349