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Image and Graphics Technologies and Applications : 15th Chinese Conference, IGTA 2020, Beijing, China, September 19, 2020, Revised Selected Papers / edited by Yongtian Wang, Xueming Li, Yuxin Peng.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1314
- Communications in Computer and Information Science, 1865-0937 ; 1314
- Language:
- English
- Subjects (All):
- Computer vision.
- Machine learning.
- Pattern recognition systems.
- Coding theory.
- Information theory.
- Computer networks.
- Computer Vision.
- Machine Learning.
- Automated Pattern Recognition.
- Coding and Information Theory.
- Computer Communication Networks.
- Local Subjects:
- Computer Vision.
- Machine Learning.
- Automated Pattern Recognition.
- Coding and Information Theory.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (XIII, 326 pages) : 179 illustrations, 116 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 15th Conference on Image and Graphics Technologies and Applications, IGTA 2020, held in Beijing, China in September, 2020.* The 24 papers presented were carefully reviewed and selected from 115 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. *The conference was held virtually due to the COVID-19 pandemic.
- Contents:
- Image Processing and Enhancement Techniques
- Single Image Super-resolution Based on Generative Adversarial Networks
- A Striping Removal Method Based on Spectral Correlation in MODIS Data
- Multi-Modal 3-D Medical Image Fusion Based on Tensor Robust Principal Component Analysis
- Accurate Estimation of Motion Blur Kernel based on Genetic Algorithm
- Biometric Identification Techniques
- Graph Embedding Discriminant Analysis and Semi-supervised Extension for Face Recognition
- Fast and Accurate Face Alignment Algorithm Based on Deep Knowledge Distillation
- Machine Vision and 3D Reconstruction
- 3D Human Reconstruction from a Single Image
- Image/Video Big Data Analysis and Understanding
- Abnormal Crowd Behavior Detection based on Movement Trajectory
- Full Convolutional Color Constancy with Attention
- Simplifying Sketches with Conditional GAN
- Improved Method of Target Tracking Based on SiamRPN
- An Improved Target Tracking Method Based on DIMP
- Infrared Small Target Recognition with Improved Particle Filtering Based on Feature Fusion
- Target Recognition Framework and Learning Mode based on Parallel Images
- Crowd Anomaly Scattering Detection based on Motion.rar
- Computer Graphics
- View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders
- An Angle-based Smoothing Method for Triangular and Tetrahedral Meshes
- Virtual Reality and Human-Computer Interaction
- Rendering Method for Light-field Near-eye Displays Based on Micro-structures with Arbitrary Distribution
- AUIF: an Adaptive User Interface Framework for Multiple Devices
- Applications of Image and Graphics
- Control and On-board Calibration Method for In-situ Detection Using the Visible and Near-Infrared Imaging Spectrometer on the Yutu-2 Rover
- Deep Attention Network for Remote Sensing Scene Classification
- Thin Cloud Removal Using Cirrus Spectral Property for Remote Sensing Images
- A Multi-line Image Difference Technique to Background Suppression Based on Geometric Jitter Correction
- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology
- Image Recognition Method of Defective Button Battery Base on Improved MobileNetV1.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-33-6033-4
- 9789813360334
- Access Restriction:
- Restricted for use by site license.
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