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This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Hotel Villa del Mare, Maratea, Italy, August 31 - September 3, 1987. This workshop was organized under the NATO Special Programme on Sensory Systems for Robotic Control. Professor Eric Backer, Delft University of Technology, The Netherlands and Professor Erdal Panayirci, Technical University of Istanbul, Turkey were the members of the organizing committee for this workshop. There were four major themes of this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations were made. These talks covered a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer-Aided Design) and vision systems, and the use of pyramid architectures for solving varioos computer vision problems.




This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Maratea, Italy, August 31 - September 3, 1987. This workshop was organized within the activities of the NATO Special Programme on Sensory Systems for Robotic Control. Four major themes were discussed at this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations, contained in this book, cover a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer Aided Design) and vision systems, and the use of pyramid architectures for solving various computer vision problems. These papers are written by some of the very well-known researchers in the computer vision and pattern recognition community, and represent both industrial and academic viewpoints. The authors come from thirteen different countries from Europe and North America. Therefore, readers will get a first hand and current information about the status of computer vision research in various western countries. Further, this book will also be useful in understanding the current research issues in computer vision and the difficulties in designing real-time vision systems.


This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Maratea, Italy, August 31 - September 3, 1987. This workshop was organized within the activities of the NATO Special Programme on Sensory Systems for Robotic Control. Four major themes were discussed at this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations, contained in this book, cover a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer Aided Design) and vision systems, and the use of pyramid architectures for solving various computer vision problems. These papers are written by some of the very well-known researchers in the computer vision and pattern recognition community, and represent both industrial and academic viewpoints. The authors come from thirteen different countries from Europe and North America. Therefore, readers will get a first hand and current information about the status of computer vision research in various western countries. Further, this book will also be useful in understanding the current research issues in computer vision and the difficulties in designing real-time vision systems.
Content:
Front Matter....Pages I-VIII
Two Real-Time Architectures for Image Processing and Computer Vision....Pages 1-23
A Flexible and Intelligent System for Fast Measurements in Binary Images For in-Line Robotic Control....Pages 25-40
Object Recognition and Real-Time Relative State Estimation Under Egomotion....Pages 41-56
Hardware-Software Trade-Offs in Robot Vision....Pages 57-71
Hardware Versus Software Implementations of Fast Image Processing Algorithms....Pages 73-91
Robot Perception Systems: Some Design Issues....Pages 93-109
Two Parallel Algorithms for the Analysis of Random Images....Pages 111-117
Shape Detection Using the Adaptive Hough Transform....Pages 119-142
Shape Analysis Based on Boundary Curve Segmentation....Pages 143-159
Progress in Trinocular Stereo....Pages 161-169
Feature Extraction Using Structured Light....Pages 171-184
A Clustering Approach to texture Classification....Pages 185-195
Spatial feature measurements in parallell structures....Pages 197-213
What an Autonomous Robot can Learn About its Environment Starting from Scratch Using Image Sequences....Pages 215-226
Three-dimensional Object Recognition based on Multiview Representation and Extended Gaussian Image....Pages 227-249
Symbolic Surface Descriptors....Pages 251-265
A Novel Architecture for Real Time Pick Up of 3D Motion and 3D Layout Information from The Flow of The Optic Array....Pages 267-280
Object Identification and Automatic Learning....Pages 281-292
Real-Time Restoration and Segmentation Algorithms for Hidden Markov Mesh Random Fields Image Models....Pages 293-307
Coherent Architectures for Machine Vision....Pages 309-330
Architectural Solutions For Intermediate-Level Vision....Pages 331-344
Statistical Optimization of Image Processing Architectures for Maximum Resource Utilization and Throughput....Pages 345-358
Object Recognition In Multi-Resolution Systems....Pages 359-374
Multisensor Knowledge Systems....Pages 375-390
Knowledge Representation for Three-Dimensional Sensor Fusion with Context Truth Maintenance....Pages 391-404
Back Matter....Pages 405-410


This book contains papers presented at the NATO Advanced Research Workshop on "Real-time Object and Environment Measurement and Classification" held in Maratea, Italy, August 31 - September 3, 1987. This workshop was organized within the activities of the NATO Special Programme on Sensory Systems for Robotic Control. Four major themes were discussed at this workshop: Real-time Requirements, Feature Measurement, Object Representation and Recognition, and Architecture for Measurement and Classification. A total of twenty-five technical presentations, contained in this book, cover a wide spectrum of topics including hardware implementation of specific vision algorithms, a complete vision system for object tracking and inspection, using three cameras (trinocular stereo) for feature measurement, neural network for object recognition, integration of CAD (Computer Aided Design) and vision systems, and the use of pyramid architectures for solving various computer vision problems. These papers are written by some of the very well-known researchers in the computer vision and pattern recognition community, and represent both industrial and academic viewpoints. The authors come from thirteen different countries from Europe and North America. Therefore, readers will get a first hand and current information about the status of computer vision research in various western countries. Further, this book will also be useful in understanding the current research issues in computer vision and the difficulties in designing real-time vision systems.
Content:
Front Matter....Pages I-VIII
Two Real-Time Architectures for Image Processing and Computer Vision....Pages 1-23
A Flexible and Intelligent System for Fast Measurements in Binary Images For in-Line Robotic Control....Pages 25-40
Object Recognition and Real-Time Relative State Estimation Under Egomotion....Pages 41-56
Hardware-Software Trade-Offs in Robot Vision....Pages 57-71
Hardware Versus Software Implementations of Fast Image Processing Algorithms....Pages 73-91
Robot Perception Systems: Some Design Issues....Pages 93-109
Two Parallel Algorithms for the Analysis of Random Images....Pages 111-117
Shape Detection Using the Adaptive Hough Transform....Pages 119-142
Shape Analysis Based on Boundary Curve Segmentation....Pages 143-159
Progress in Trinocular Stereo....Pages 161-169
Feature Extraction Using Structured Light....Pages 171-184
A Clustering Approach to texture Classification....Pages 185-195
Spatial feature measurements in parallell structures....Pages 197-213
What an Autonomous Robot can Learn About its Environment Starting from Scratch Using Image Sequences....Pages 215-226
Three-dimensional Object Recognition based on Multiview Representation and Extended Gaussian Image....Pages 227-249
Symbolic Surface Descriptors....Pages 251-265
A Novel Architecture for Real Time Pick Up of 3D Motion and 3D Layout Information from The Flow of The Optic Array....Pages 267-280
Object Identification and Automatic Learning....Pages 281-292
Real-Time Restoration and Segmentation Algorithms for Hidden Markov Mesh Random Fields Image Models....Pages 293-307
Coherent Architectures for Machine Vision....Pages 309-330
Architectural Solutions For Intermediate-Level Vision....Pages 331-344
Statistical Optimization of Image Processing Architectures for Maximum Resource Utilization and Throughput....Pages 345-358
Object Recognition In Multi-Resolution Systems....Pages 359-374
Multisensor Knowledge Systems....Pages 375-390
Knowledge Representation for Three-Dimensional Sensor Fusion with Context Truth Maintenance....Pages 391-404
Back Matter....Pages 405-410
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