Image Feature Detectors and Descriptors : Foundations and Applications / / edited by Ali Ismail Awad, Mahmoud Hassaballah |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (IX, 438 p. 213 illus., 84 illus. in color.) |
Disciplina | 006.6 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Optical data processing Signal processing Image processing Speech processing systems Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing |
ISBN | 3-319-28854-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Image Features Detection, Description and Matching -- A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations -- Image Features Extraction, Selection and Fusion for Computer Vision -- Image Feature Extraction Acceleration -- Satellite Image Registration: A Comparative Study Using Invariant Local Features -- Redundancy Elimination in Video Summarization -- A Real Time Dactylology Based Selective Image Encryption Using Speeded Up Robust Features Extraction Technique and Artificial Neural Network -- Spectral Reflectance Images and Applications -- Image Segmentation using an Evolutionary Method based on Allostatic Mechanisms -- Image Analysis and Coding Based on Ordinal Data Representation -- Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina through a Robust Combination of Fuzzy-Logic and Active Contour Model -- Registration of Digital Terrain Images using Nondegenerate Singular Points -- Visual Speech Recognition with Selected Boundary Descriptors -- Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions -- Application of Statistical Texture Features for Breast Tissue Density Classification. |
Record Nr. | UNINA-9910253964703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Computer Vision : Theories and Applications / / edited by Mahmoud Hassaballah, Khalid M. Hosny |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 425 p. 158 illus., 106 illus. in color.) |
Disciplina |
006.3
006.37 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Computational intelligence
Optical data processing Artificial intelligence Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence |
ISBN | 3-030-03000-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Computer Vision for Supporting Fashion Creative Processes -- Facial Features Detection and Localization -- Advances and Trends in Video Face Alignment -- Video Similarity Measurement and Search -- Analysis and Evaluation of Keypoint Descriptors for Image Matching -- Feature Extraction of Color images using Quaternion Moments -- Face recognition Using Exact Gaussian-Hermit Moments and Nonnegative Matrix Factorization -- Face Recognition with Discrete Orthogonal Moments -- Content-Based Image Retrieval using Multiresolution Feature Descriptors -- Landmark Recognition: From Small-Scale to Large-Scale Retrieval -- Ocean Ecosystems Plankton Classification -- Boundary Detection of Echocardiographic Images during Mitral Regurgitation -- Motion Estimation Made Easy: Evolution and Trends in Visual Odometry -- Deep Ear Recognition Pipeline -- Scene Classification Using Transfer Learning -- Hyperspectral Image: Fundamentals and Advances. |
Record Nr. | UNINA-9910483829503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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