Advances in Image and Graphics Technologies [[e-book] ] : 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

• 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
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 757