The Autonomous Image:Cinematic Narration and Humanism Armando J. Prats
Autonomous Image: A. J. Prats, Armando J. Prats
Image Dependent Relative Formation Navigation for Autonomous Aerial Refueling: James Michael Howard
Processing Imagery for Low-Cost Autonomous Remote Sensing Platforms:A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir) Austin Jensen
Media technology plays a significant role in addressing the different sense modalities of the recipient or user. This role seems to deeply influence our concepts of time and space: The more a media technology is becoming a trigger for sensory and perceptual experiences, the bigger is the influence on temporality and spatiality. Image Temporality could be one part of the temporality discourse to connect the concepts of static and dynamic images with the approaches in modern media theory, philosophy of mind, perceptual theory, aesthetics, and film studies as well as the complex range of image science.This volume monitors and discusses the relation of time, space and visual media within the perspective of an autonomous image science.
Processing Imagery for Low-Cost Autonomous Remote Sensing Platforms ab 49 EURO A Geospatial Real-Time Aerial Image Display for a Low-Cost Autonomous Multispectral Remote Sensing Platform (AggieAir)
This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics - reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques - non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches - extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets. Dr. R. Balasubramanian is currently an associate professor in the department of Computer Science and Engineering at IIT Roorkee, India. He completed his Ph.D. (Mathematics and Computer Science) from Indian Institute of Technology Madras, Chennai in 2001. His areas of interest include Computer Vision - Optical Flow Problems, Fractional Transform Theory, Wavelet Analysis, Image and Video Processing, Multimedia Security: Digital Image Watermarking and Encryption, Biometrics, Content Based Image and Video Retrieval, Hyperspectral and Microwave Imaging and Visualization, Volume Graphics. He has published over 80 papers in refereed journal and contributed 7 chapters in books. Dr. Sanjeev Kumar is an assistant professor of Mathematics at IIT Roorkee, India. His areas of interest are Computer Vision & Mathematical Imaging, Inverse Problems, and Machine Learning, He completed his Ph.D. in mathematics from IIT Roorkee in 2008. He is a member of IEEE Computer Society and International Association of Pattern Recognition and life member of ACEEE and IACSIT. He has got over 40 papers published in journals as well as conference proceedings. Dr. Partha Pratim Roy is an assistant professor of Computer Science and Engineering at IIT Roorkee, India. Before joining IIT Roorkee, he has worked with Samsung Research Institute Noida as chief engineer. He did his Ph.D. in Computer Science and Engineering (2010) from Autonomous University of Barcelona, Spain. He has got seve ral papers published in journals and international conference proceedings. His interest areas include Pattern Recognition, Multilingual Text Recognition, Biometrics, Identification and Verification of Signature, Fingerprint, etc., Computer Vision, Image Segmentation, Machine Learning, and Hidden Markov Model. Dr. Debashis Sen is Assistant Professor, Electronics & Electrical Communication Engineering at IIT Kharagpur, India. He did his Ph.D in Engineering (Image Processing) from Jadavpur University, Kolkata in 2011. He has got 12 papers published in journals, 13 in conference proceedings and 1 book chapter. His research areas are Vision Image and Video Processing, Uncertainty Handling, Bio-inspired Computation, Eye
This book provides the most recent findings and knowledge in advanced diagnostics technology, covering a wide spectrum including brain activity analysis, breast and lung cancer detection, echocardiography, computer aided skeletal assessment to mitochondrial biology imaging at the cellular level. The authors explored magneto acoustic approaches and tissue elasticity imaging for the purpose of breast cancer detection. Perspectives in fetal echocardiography from an image processing angle are included. Diagnostic imaging in the field of mitochondrial diseases as well as the use of Computer-Aided System (CAD) are also discussed in the book. This book will be useful for students, lecturers or professional researchers in the field of biomedical sciences and image processing. Dr. Lai Khin Wee, MIET, received his PhD in Biomedical Engineering under DAAD PhD sandwich program between Technische Universität Ilmenau, Germany and Universiti Teknologi Malaysia, Johor Bahru. He is currently working as senior lecturer at University Malaya. His research interests include medical imaging and medical computing. Dr. Hum Yan Chai received his PhD in the field of biomedical imaging from the Universiti Teknologi Malaysia (UTM). He is currently working as senior researcher MIMOS Berhad. His research interests include medical image processing, fuzzy logic, and medical computing. Dr. Salim Maheza Irna Mohamad received her Doctoral degree in Medical Imaging from Universiti Teknologi Malaysia in 2012. She is currently a Senior Lecturer at Universiti Teknologi Malaysia. Her research interest includes Medical Imaging and instrumentation, especially ultrasound and hybrid imaging for cancer research application. Dr. Sang-Bing Ong, PhD CBiol EurProBiol, first demonstrated the relevance of mitochondrial morphology in the heart and its relation to cardioprotection during his doctoral studies at the Hatter Cardiovascular Institute at University College London (UCL). He then moved to the University of California, San Diego (UCSD) for further research in mitochondrial biology. He is currently a Senior Lecturer at Universiti Teknologi Malaysia. Dr. Nugraha P. Utama received his PhD from the Tokyo Institute of Technology specializing in Human Machine Interface and Neuroscience. After receiving his PhD, he became a post-doctoral fellow in the precision and intelligent systems laboratory, Tokyo Institute of Technology. He is currently served as senior lecturer at Universiti Teknologi Malaysia. His research interests are in neuroscience and assistive technology. Dr. Myint Yin Mon received her Ph.D from Yangon Technological University, Myanmar. Since 2011, she is working as a senior lecturer in the Department of Bioscience and Medical Engineering at UTM. Her current research interests are image guided autonomous robot systems and medical imaging systems. Dr. Norliza Mohd Noor received her PhD in Elect. Eng. from Universiti Teknologi Malaysia. She is currently an Associate Professor at UTM Razak School of Engineering and Advanced Technology, UTM International Campus, Kuala Lumpur. Her research interest is in image processing and analysis for medical and industrial application. Dr. Eko Supriyanto is the Director of IJN-UTM Cardiovascular Engineering Centre as well as Head of Advanced Diagnostics Research Group, University Technology Malaysia. He obtained Doctor of Engineering from University of Federal Armed Forces Hamburg Germany. His interest research areas are ultrasound, electronics and computer application in medicine and industry.
Design and implementation of innovative algorithms in deep learning and artificial intelligence Implementation of object detection, classification, reconstruction and segmentation concepts with image, video and 3D data Apply state-of-the-art machine/deep learning and computer vision methods to real world problems in various solutions for intelligent mobility (e.g. in augmented reality, autonomous driving, video analytics etc.) Performance evaluation with large scale data sets Rapid
This book presents a careful selection of the contributions presented at the Mathematical Methods in Engineering (MME10) International Symposium, held at the Polytechnic Institute of Coimbra- Engineering Institute of Coimbra (IPC/ISEC), Portugal, October 21-24, 2010. The volume discusses recent developments about theoretical and applied mathematics toward the solution of engineering problems, thus covering a wide range of topics, such as: Automatic Control, Autonomous Systems, Computer Science, Dynamical Systems and Control, Electronics, Finance and Economics, Fluid Mechanics and Heat Transfer, Fractional Mathematics, Fractional Transforms and Their Applications, Fuzzy Sets and Systems, Image and Signal Analysis, Image Processing, Mechanics, Mechatronics, Motor Control and Human Movement Analysis, Nonlinear Dynamics, Partial Differential Equations, Robotics, Acoustics, Vibration and Control, and Wavelets.