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Titolo: |
Advances in Image and Graphics Technologies : 12th Chinese conference, IGTA 2017, Beijing, China, June 30 – July 1, 2017, Revised Selected Papers / / edited by Yongtian Wang, Shengjin Wang, Yue Liu, Jian Yang, Xiaoru Yuan, Ran He, Henry Been-Lirn Duh
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Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Edizione: | 1st ed. 2018. |
Descrizione fisica: | 1 online resource (XI, 272 p. 154 illus.) |
Disciplina: | 621.367 |
Soggetto topico: | Optical data processing |
Artificial intelligence | |
Multimedia information systems | |
Persona (resp. second.): | WangYongtian |
WangShengjin | |
LiuYue | |
YangJian | |
YuanXiaoru | |
HeRan | |
DuhHenry Been-Lirn | |
Note generali: | Includes index. |
Nota di contenuto: | SAR image registration using clustering analysis and anisotropic diffusion-based SIFT -- Palmprint Recognition with Deep Convolutional Features -- sosurface Algorithm Based on Generalized Three Prism -- A Novel Classifier Using Subspace Analyse for Face Recognition -- A Variational Model based on Total Generalized Variation for Multiplicative Noise Removal -- An Improved Superpixel Method for Color Image Segmentation Based on SEEDS -- Global Perception Feedback Convolutional Neural Networks -- Single Image Defogging based on Step Estimation of Transmissivity -- The Method of Crowd Density Alarm for Video Sequence -- A novel three-dimensional asymmetric reconstruction method o plasma -- Pose Measurement of Drogue via Monocular Vision for Autonomous Aerial Refueling -- Recognition of Group Activities Based on M-DTCWT and Elliptic Mahalanobis Metrics -- U3D File Format Analyzing and 3DPDF Generating Method -- Estimating Cumulus Cloud Shape from a Single Image -- Design of a Computer-Aided-Design System for Museum Exhibition Based on Virtual Reality -- Real-time salient object detection based on fully convolutional networks -- Boosting Multi-view Convolutional Neural Networks for 3D Object Recognition via View Saliency -- Spacecraft Component Detection in Point Clouds -- Research on 3D Modeling of Geological Interface Surface -- Image Segmentation via the Continuous Max-Flow Method Based on Chan-Vese Model -- Deep-Stacked Auto Encoder for Liver Segmentation -- A Flattened Maximally Stable Extremal Region Method for Scene Text Detection -- A Combinational De-noising Algorithm for Low-Dose Computed Tomography. |
Sommario/riassunto: | This book constitutes the refereed proceedings of the 12th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2017, held in Beijing, China June 30 – July 1, 2017. The 26 papers presented were carefully reviewed and selected from 78 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR; as well as image technology applications. |
Titolo autorizzato: | Advances in Image and Graphics Technologies ![]() |
ISBN: | 981-10-7389-9 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910299300903321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |