Biometric Systems |
Autore | Nanni Loris |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (352 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
online signature verification
shape contexts function features SC-DTW symbolic representation two-stage method finger features multimodal recognition local coding Gabor filter LGS human identification biomarker ECG machine learning Physionet Lviv Biometric Dataset biometry identification bloodstream image recognition multi-biometrics bit planes block mutual information cross-device dorsal hand vein recognition person re-identification superpixel temporally aligned pooling walking cycle automatic recognition face voice body motion autism spectrum disorder (ASD) assessment intervention curve similarity curve similarity model curve similarity transformation similarity distance segmentation matching evolutionary computation finger vein recognition hand vein recognition contactless acquisition device public vascular pattern dataset biometric recognition performance evaluation face verification optical correlation Hausdorff distance image classification face detection depth map ensemble filtering geometric deep learning ear detection structured prediction semantic segmentation rotation equivariance Gaussian mixture model superpixels face recognition systems person identification biometric systems survey automatic signature verification touch-screen sensor data quality enrollment phase performance assessment augmented signature security enhancement mobile conditions biometric recognition visible light iris images image quality assessment image covariates quality filtering vascular biometric recognition wrist vein recognition contactless dataset pattern recognition infrared camera non-contact devices Scale-Invariant Feature Transform (SIFT®) Speeded Up Robust Features (SURF®) Oriented FAST and Rotated BRIEF (ORB) fingerprint presentation attack detection deep learning |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557789403321 |
Nanni Loris | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Statistical Machine Learning for Human Behaviour Analysis |
Autore | Moeslund Thomas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (300 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
multi-objective evolutionary algorithms
rule-based classifiers interpretable machine learning categorical data hand sign language deep learning restricted Boltzmann machine (RBM) multi-modal profoundly deaf noisy image ensemble methods adaptive classifiers recurrent concepts concept drift stock price direction prediction toe-off detection gait event silhouettes difference convolutional neural network saliency detection foggy image spatial domain frequency domain object contour detection discrete stationary wavelet transform attention allocation attention behavior hybrid entropy information entropy single pixel single photon image acquisition time-of-flight action recognition fibromyalgia Learning Using Concave and Convex Kernels Empatica E4 self-reported survey speech emotion recognition 3D convolutional neural networks k-means clustering spectrograms context-aware framework accuracy false negative rate individual behavior estimation statistical-based time-frequency domain and crowd condition emotion recognition gestures body movements Kinect sensor neural networks face analysis face segmentation head pose estimation age classification gender classification singular point detection boundary segmentation blurring detection fingerprint image enhancement fingerprint quality speech committee of classifiers biometric recognition multimodal-based human identification privacy privacy-aware |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557288403321 |
Moeslund Thomas | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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