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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio |
Autore | Marcello Javier |
Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto non controllato |
very high-resolution Pléiades imagery
surface convergence data augmentation acquisition geometry SVM classification urban water mapping beaver dam analogue agriculture parcel segmentation morphological building index airborne hypespectral imagery sunglint correction water index over-segmentation index (OSI) High-resolution satellite imagery multi-resolution segmentation (MRS) GaoFen-2 (GF-2) benthic mapping scene classification greenhouse extraction edge constraint Deformable CNN built-up areas extraction ultra-dense connection seagrass beaver mimicry forested mountain natural hazards remote sensing dimensionality reduction techniques road extraction landslide monitoring Slumgullion landslide synthetic aperture radar building detection Worldview-2 saliency index under-segmentation index (USI) texture analysis fast marching method video satellite CNN capsule super-resolution feature distillation shadow detection PrimaryCaps semiautomatic compensation unit superpixels riparian QuickBird submesoscale linear unmixing accuracy assessment composite error index (CEI) cyanobacteria local feature points Faster R-CNN occluded object detection error index of total area (ETA) large displacements threshold stability remote sensing imagery water column correction canopy height model spiral eddy sub-pixel offset tracking consensus stream restoration western Baltic Sea Worldview very high-resolution image CapsNet atmospheric correction |
ISBN |
9783039217571
3039217577 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367747503321 |
Marcello Javier
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Basel, Switzerland : , : MDPI, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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