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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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neuromorphic engineering --- learning feature extraction --- high-density plasticity --- memristive plasticity --- synaptic plasticity --- plasticity circuits --- digital plasticity --- plasticity for sensor data

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neuromorphic engineering --- learning feature extraction --- high-density plasticity --- memristive plasticity --- synaptic plasticity --- plasticity circuits --- digital plasticity --- plasticity for sensor data

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Neuromorphic engineering is about to enter its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems.The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops.With this special research topic, we aim to showcase the state-of-the-art in neuromorphic systems.

Neuromorphics. --- Computational neuroscience. --- Bioengineering --- Mechanical Engineering --- Engineering & Applied Sciences --- neuromorphic engineering --- Learning --- Floating gate --- Neural Network --- spike-based --- event-based --- simulation --- dynamic vision sensor --- network

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"Neuromorphic and brain-based robotics have enormous potential for furthering our understanding of the brain. By embodying models of the brain on robotic platforms, researchers can investigate the roots of biological intelligence and work towards the development of truly intelligent machines. This book provides a broad introduction to this groundbreaking area for researchers from a wide range of fields, from engineering to neuroscience. Case studies explore how robots are being used in current research, including a whisker system that allows a robot to sense its environment and neurally inspired navigation systems that show impressive mapping results. Looking to the future, several chapters consider the development of cognitive, or even conscious robots that display the adaptability and intelligence of biological organisms. Finally, the ethical implications of intelligent robots are explored, from morality and Asimov's three laws to the question of whether robots have rights"--Provided by publisher.

Neural networks (Computer science) --- Brain --- Cerebrum --- Mind --- Central nervous system --- Head --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Computer simulation. --- Neuromorphics. --- Autonomous robots. --- Autonomous robotic systems --- Robots --- Neuromorphic engineering --- Bionics