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Advances in Image and Graphics Technologies de Yongtian Wang

Advances in Image and Graphics Technologies

Editat de Yongtian Wang, Shengjin Wang, Yue Liu, Jian Yang, Xiaoru Yuan, Ran He, Henry Been-Lirn Duh
en Limba Engleză Paperback – 26 noi 2017
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
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Specificații

ISBN-13: 9789811073885
ISBN-10: 9811073880
Pagini: 284
Ilustrații: XI, 272 p. 154 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.44 kg
Ediția:1st edition 2018
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

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 Systemfor 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.