
A Pyramid Framework for Early Vision by Jean-Michel Jolion
Biological visual systems employ parallel processing to perform real-world visual tasks in real time. A key to this performance seems to be that biological systems construct representations of their visual image data at multiple scales. This text describes a multiscale, or "pyramid", approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be efficiently implemented on hypercube-connected processor networks. The text is intended for both students of vision and vision system designers. It provides a general approach to vision systems design as well as a set of robust, efficient vision modules.-
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Nonholonomic Motion Planning
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Biometrics
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VHDL '92
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Computer Analysis of Visual Textures
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Silicon-on-Insulator Technology
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Bayesian Approach to Image Interpretation
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Sigma Delta A/D Conversion for Signal Conditioning
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CMOS Current Amplifiers
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Adaptive Techniques for Mixed Signal System on Chip
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Wide-Bandwidth High Dynamic Range D/A Converters
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Color Theory and Modeling for Computer Graphics, Visualization, and Multimedia Applications
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Performance Evaluation and Applications of ATM Networks
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Dynamic Characterisation of Analogue-to-Digital Converters
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The Bounding Approach to VLSI Circuit Simulation
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Low-Power Low-Voltage Sigma-Delta Modulators in Nanometer CMOS
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Research Perspectives on Dynamic Translinear and Log-Domain Circuits
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High-Frequency Oscillator Design for Integrated Transceivers
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Methodology for the Digital Calibration of Analog Circuits and Systems
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Mixed-Signal Layout Generation Concepts
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Calibration Techniques in Nyquist A/D Converters
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Distortion Analysis of Analog Integrated Circuits
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Integrated Image and Graphics Technologies
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Modeling and Simulation of Mixed Analog-Digital Systems
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Design of Very High-Frequency Multirate Switched-Capacitor Circuits
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Robustness in Automatic Speech Recognition
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An Introduction to Error Correcting Codes with Applications
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Application Specific Processors
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Input/Output in Parallel and Distributed Computer Systems
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Multithreaded Processor Design
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Wireless Personal Communications
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Pipelined Lattice and Wave Digital Recursive Filters
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Object Orientation with Parallelism and Persistence
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Binary Decision Diagrams and Applications for VLSI CAD
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Multimedia Systems and Techniques
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Feedback-Based Orthogonal Digital Filters
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Client Data Caching
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Software Performability: From Concepts to Applications
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Human Interaction with Complex Systems
Rosenfeld, Azriel: - The late Azriel Rosenfeld was a tenured research professor, a distinguished university professor, and the Founding Director of the Center for Automation Research at the University of Maryland in College Park, where he also held affiliate professorships in the departments of computer science, electrical engineering, and psychology. Dr. Rosenfeld was widely regarded as the leading researcher in the world in the field of computer image analysis. Over a period of nearly 40 years, he made fundamental and pioneering contributions to nearly every area of that field. He wrote the first textbook in the field, was founding editor of its first journal, and was co-chairman of its first international conference. He published over 30 books and over 600 book chapters and journal articles, and directed nearly 60 Ph.D. dissertations. Dr. Rosenfeld's research on digital image analysis--specifically on digital geometry and topology and the accurate measurement of statistical features of digital images in the 1960s and 1970s--formed the foundation for a generation of industrial vision inspection systems that have found widespread applications from the automotive to the electronics industry. He was a Fellow of the IEEE and the Washington Academy of Sciences; a Founding Fellow of the AAAI, the ACM, and the IAPR. Among his numerous awards and honors are the IEEE's Emanuel Piore Award, its Third Millennium Medal, and its Distinguished Service Award for Lifetime Achievement in Computer Vision and Pattern Recognition.
| SKU | Unavailable |
| ISBN 13 | 9780792394020 |
| ISBN 10 | 079239402X |
| Title | A Pyramid Framework for Early Vision |
| Author | Jean-Michel Jolion |
| Series | The Springer International Series In Engineering And Computer Science |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Kluwer Academic Publishers |
| Year published | 1993-12-31 |
| Number of pages | 232 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |















































