Bio-inspired and Neuromorphic Machine Vision System for Analyzing Three-dimensional Data PDF Download
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Author: Michael Skocik
Publisher:
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Languages : en
Pages :
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This dissertation investigates neuron models, which are the basic units of computation in many bio-inspired data analysis systems; neural networks, which are used for abstract pattern storage and reconstruction; and neural systems, which process data to identify patterns. Binary, continuous activation, and spiking neuron models are investigated, and neural circuits composed of spiking neuron models that perform various mathematical operations are proposed. These mathematical operations are useful in simulating neural networks and neural systems. The Hopfield and grandmother cell models, which are basic artificial neural networks for modeling biological memory systems, are investigated and compared on their capacities, and a hybridized model is proposed that performs comparably. A machine vision system for analyzing three-dimensional data, which is inspired from the human visual processing neural system, is proposed and evaluated on its ability to identify actions from videos, detect pulmonary nodules from computed tomography scans, and predict Alzheimer's disease progression from magnetic resonance images. This dissertation thus provides a thorough presentation and analysis of bio-inspired neuron models, neural networks, and neural systems, demonstrating their utility in a variety of applications.
Author: Michael Skocik
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This dissertation investigates neuron models, which are the basic units of computation in many bio-inspired data analysis systems; neural networks, which are used for abstract pattern storage and reconstruction; and neural systems, which process data to identify patterns. Binary, continuous activation, and spiking neuron models are investigated, and neural circuits composed of spiking neuron models that perform various mathematical operations are proposed. These mathematical operations are useful in simulating neural networks and neural systems. The Hopfield and grandmother cell models, which are basic artificial neural networks for modeling biological memory systems, are investigated and compared on their capacities, and a hybridized model is proposed that performs comparably. A machine vision system for analyzing three-dimensional data, which is inspired from the human visual processing neural system, is proposed and evaluated on its ability to identify actions from videos, detect pulmonary nodules from computed tomography scans, and predict Alzheimer's disease progression from magnetic resonance images. This dissertation thus provides a thorough presentation and analysis of bio-inspired neuron models, neural networks, and neural systems, demonstrating their utility in a variety of applications.
Author: Gabriel Cristobal
Publisher: John Wiley & Sons
ISBN: 3527680470
Category : Technology & Engineering
Languages : en
Pages : 482
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Book Description
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
Author: Takeo Kanade
Publisher: Springer Science & Business Media
ISBN: 1461319811
Category : Computers
Languages : en
Pages : 609
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Author: Herbert Freeman
Publisher: Elsevier
ISBN: 0323150632
Category : Technology & Engineering
Languages : en
Pages : 432
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Book Description
Machine Vision for Three-Dimensional Scenes contains the proceedings of the workshop "Machine Vision - Acquiring and Interpreting the 3D Scene" sponsored by the Center for Computer Aids for Industrial Productivity (CAIP) at Rutgers University and held in April 1989 in New Brunswick, New Jersey. The papers explore the applications of machine vision in image acquisition and 3D scene interpretation and cover topics such as segmentation of multi-sensor images; the placement of sensors to minimize occlusion; and the use of light striping to obtain range data. Comprised of 14 chapters, this book opens with a discussion on 3D object recognition and the problems that arise when dealing with large object databases, along with solutions to these problems. The reader is then introduced to the free-form surface matching problem and object recognition by constrained search. The following chapters address the problem of machine vision inspection, paying particular attention to the use of eye tracking to train a vision system; images of 3D scenes and the attendant problems of image understanding; the problem of object motion; and real-time range mapping. The final chapter assesses the relationship between the developing machine vision technology and the marketplace. This monograph will be of interest to practitioners in the fields of computer science and applied mathematics.
Author: Christian Wöhler
Publisher: Springer Science & Business Media
ISBN: 1447141504
Category : Computers
Languages : en
Pages : 390
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Book Description
This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.
Author: Jan-Matthias Braun
Publisher: Frontiers Media SA
ISBN: 288966340X
Category : Science
Languages : en
Pages : 165
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Author: Olivier Faugeras
Publisher: MIT Press
ISBN: 9780262061582
Category : Computers
Languages : en
Pages : 712
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Book Description
This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition. Faugeras takes up such important problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programs.Three-Dimensional Computer Vision proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process.
Author: Shih-Chii Liu
Publisher: Frontiers Media SA
ISBN: 2889632326
Category :
Languages : en
Pages : 200
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Book Description
Neurophysiology and biology provide useful starting points to help us understand and build better audio processing systems. The papers in this special issue address hardware implementations, spiking networks, sound identification, and attention decoding.
Author: Chiara Bartolozzi
Publisher: Frontiers Media SA
ISBN: 2889717232
Category : Science
Languages : en
Pages : 198
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Book Description
Author: Jeffrey Anders Jalkio
Publisher:
ISBN:
Category :
Languages : en
Pages : 238
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