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The book presents a wide range of innovative research ideas and current trends in stereo vision. The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines. Particularly interesting theoretical trends presented in this book involve the exploitation of the evolutionary approach, wavelets and multiwavelet theories, Markov random fields and fuzzy sets in addressing the correspondence estimation problem. Novel algorithms utilizing inspiration from biological systems (such as the silicon retina imager and fish eye) and nature (through the exploitation of the refractive index of liquids) make this book an interesting compilation of current research ideas.
Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computer vision
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The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision to the development of intelligent hardware modules and smart cameras. It would not be an exaggeration if this book is considered to be one of the most comprehensive books published in reference to the current research in the field of stereo vision. Research topics covered in this book makes it equally essential and important for students and early career researchers as well as senior academics linked with computer vision.
Image reconstruction. --- Image restoration --- Reconstruction, Image --- Restoration, Image --- Image processing --- Robotics
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The book is a new edition of stereo vision book series of INTECH Open Access Publisher and it presents diverse range of ideas and applications highlighting current research/technology trends and advances in the field of stereo vision. The topics covered in this book include fundamental theoretical aspects of robust stereo correspondence estimation, novel and robust algorithms, hardware implementation for fast execution and applications in wide range of disciplines. Particularly interesting approaches include neuromorphic engineering, probabilistic analysis and anisotropic reaction diffusion addressing the problem of stereo correspondence and the applications in mobile robotics for autonomous terrain mapping and navigation. SterCentre for Intelligent Systems Research (CISR), Institute of Technology, Research and Innovation (ITRI),eo algorithm with anisotropic reaction-diffusion systems utilizing biologically motivated reaction-diffusion systems with anisotropic diffusion coefficients makes it an interesting addition to the book.
Neuromorphic engineering. --- Neuromorphic engineering --- Bionics --- Neural networks (Computer science) --- Image processing
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This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.
Engineering. --- Neurosciences. --- Systems biology. --- Neurobiology. --- Computational intelligence. --- Biomedical engineering. --- Biomaterials. --- Biomedical Engineering. --- Systems Biology. --- Computational Intelligence. --- Neurophysiology. --- Nervous system --- Neural sciences --- Neurological sciences --- Neuroscience --- Physiology --- Medical sciences --- Biocompatible materials --- Biomaterials --- Medical materials --- Medicine --- Biomedical engineering --- Materials --- Biocompatibility --- Prosthesis --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Neurosciences --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Construction --- Industrial arts --- Technology --- Neurobiology --- Biomedical Engineering and Bioengineering. --- Biological systems. --- Bioartificial materials --- Hemocompatible materials --- Biosystems --- Systems, Biological --- Biology --- System theory --- Systems biology --- Philosophy --- Biomaterials (Biomedical materials)
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This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.
General biophysics --- Biology --- Human biochemistry --- Physiology of nerves and sense organs --- Neuropathology --- Applied physical engineering --- Biotechnology --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- biologische materialen --- medische biochemie --- cybernetica --- neurologie --- biosensoren --- bio-engineering --- biologie --- biotechnologie --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- neurobiologie
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