| Título : |
12th Chinese conference, IGTA 2017, Beijing, China, June 30 – July 1, 2017, Revised Selected Papers |
| Tipo de documento: |
documento electrónico |
| Autores: |
Wang, Yongtian, ; Wang, Shengjin, ; Liu, Yue, ; Yang, Jian, ; Yuan, Xiaoru, ; He, Ran, ; Duh, Henry Been-Lirn, |
| Mención de edición: |
1 ed. |
| Editorial: |
Singapore [Malasya] : Springer |
| Fecha de publicación: |
2018 |
| Número de páginas: |
XI, 272 p. 154 ilustraciones |
| ISBN/ISSN/DL: |
978-981-10-7389-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Visión por computador Inteligencia artificial Sistemas multimedia Sistemas de información multimedia |
| Índice Dewey: |
006.37 Visión artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 12.ª Conferencia China sobre Tecnologías y Aplicaciones de Imágenes y Gráficos, IGTA 2017, celebrada en Beijing, China, del 30 de junio al 1 de julio de 2017. Los 26 artículos presentados fueron cuidadosamente revisados y seleccionados entre 78 presentaciones. Proporcionan un foro para compartir avances en las áreas de tecnología de procesamiento de imágenes; análisis y comprensión de imágenes; visión por computadora y reconocimiento de patrones; minería de big data, gráficos por computadora y realidad virtual; así como aplicaciones de tecnología de imagen. |
| Nota de contenido: |
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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
12th Chinese conference, IGTA 2017, Beijing, China, June 30 – July 1, 2017, Revised Selected Papers [documento electrónico] / Wang, Yongtian, ; Wang, Shengjin, ; Liu, Yue, ; Yang, Jian, ; Yuan, Xiaoru, ; He, Ran, ; Duh, Henry Been-Lirn, . - 1 ed. . - Singapore [Malasya] : Springer, 2018 . - XI, 272 p. 154 ilustraciones. ISBN : 978-981-10-7389-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Visión por computador Inteligencia artificial Sistemas multimedia Sistemas de información multimedia |
| Índice Dewey: |
006.37 Visión artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 12.ª Conferencia China sobre Tecnologías y Aplicaciones de Imágenes y Gráficos, IGTA 2017, celebrada en Beijing, China, del 30 de junio al 1 de julio de 2017. Los 26 artículos presentados fueron cuidadosamente revisados y seleccionados entre 78 presentaciones. Proporcionan un foro para compartir avances en las áreas de tecnología de procesamiento de imágenes; análisis y comprensión de imágenes; visión por computadora y reconocimiento de patrones; minería de big data, gráficos por computadora y realidad virtual; así como aplicaciones de tecnología de imagen. |
| Nota de contenido: |
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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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