3D Imaging Technologies—Multi-dimensional Signal Processing and Deep Learning

Lakhmi C. Jain, B.E.(Hons), M.E., Ph.D., Fellow (Engineers Australia), served as Visiting Professor in Bournemouth University, UK, until July 2018 and presently serving the University of Canberra, Australia and University of Technology Sydney, Australia. Dr. Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES.   Prof. Roumen Kountchev, Ph.D., D.Sc., Technical University of Sofia, Bulgaria. His scientific areas of interest are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognitionand neural networks. Prof. Kountchev has 341 papers published in magazines and conference proceedings (71 international); 15 books; 46 book chapters; 20 patents (3 international). He had been Principle Investigator of 38 research projects (6 international). He is Member of Euro Mediterranean Academy of Arts and Sciences (EMAAS) and President of Bulgarian Association for Pattern Recognition (Member of Intern. Association for Pattern Recognition); Editorial Board Member of IJBST Journal Group; Member of International Research Institute for Economics and Management (IRIEM), Member of Institute of Data Science and Artificial Intelligence (IDSAI), Member of the Honorable Editorial Board of the nonprofit peer-reviewed open access IJBST Journal Group. Editorial Board Member of Intern. Journal of Reasoning-based Intelligent Systems; Intern. Journal Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science Journal; Intern. Journal of Bio-Medical Informatics and e-Health; and Intern. Journal Intelligent Decision Technologies.   Prof. Junsheng Shi is Professor at the School of Physics and Electronic Information, Yunnan Normal University, Kunming, China and also Member of China Illuminating Engineering Society-Image Technology Specialized Committee. Since 2001, he has completed his Ph.D. in School of Optics and Photonics, Beijing Institute of Technology. He is In Charge of Yunnan Province key disciplines "Optical Engineering" and Leader for Technology innovation team in color and optical imaging technology of colleges and universities in Yunnan. He is Member of the Professional Committee of China Optical Technology Optical Society, Chinese Society of Image and Graphics Technical Committee stereoscopic image, foreign journals "Optical Engineering", "Journal of Display Technology" and the present domestic main disciplines journal "Acta Optica Sinica", "Chinese Optics Letters", "Acta Photonica Sinica" and other reviewers. In 2004 and 2008, respectively, he got awards of scientific and technological progress and natural science in Yunnan Province. Three projects of the National Natural Science Fund and two projects of the Yunnan Natural Science Fund have been completed. In past five years, the two major projects in Yunnan Province Department of Education were presided over, more than 50 papers have been published, fifteen invention patents have been applied for, and authorized two. His research interests include color appearance models, the color management systems, characteristics of the human visual system and application for color imaging and digital image processing.

Chapter 1. Short-Term Traffic Volume Prediction Based on Gray Wolf Optimization Algorithm.- Chapter 2. Research on Car Seat Comfort Evaluation System Based on Chinese Population.- Chapter 3. Classification Method Active Pulmonary Tuberculosis With 3D Texture Features From CT Images.- Chapter 4. Research on Building Extraction from High Resolution Remote Sensing Image Based on Improved U-Net.- Chapter 5. A Survey of Image Classification Algorithms Based on Graph Neural Networks.- Chapter 6. Biological Particle Recognition Based on BP Neural Network Algorithm.- Chapter 7. License Plate Recognition System Based on OpenCV.- Chapter 8. ImageCube: A Low-cost 6D Controller with Smooth Tracking for Mobile Augmented Reality.- Chapter 9. Overview of SAR Image Change Detection.- Chapter 10. Overview of SAR Image Denoising Based on Transform Domain.- Chapter 11. An Improved Method of Non-local Means Denoising Based on Histogram.- Chapter 12. Overview of Speckle Noise Suppression Methods in SAR Image Based on NLM.- Chapter 13. Overview of SAR Image Feature Extraction and Target Recognition.- Chapter 14. Image Recognition Based on Super-resolution Wasserstein Generative Adversarial Nets with Gradient Penalty.- Chapter 15. LUCC and Landscape Pattern Variation in The Lower Tarim River By Remote Sensing.