Cosimo Distante – författare

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a digital image.

Topics and features:

•Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy

•Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal

•Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of theimage

•Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration

•Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest

•Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration

•Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks

This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence.

Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition inthe Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation.

Topics and features:

•Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy

•Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal

•Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of theimage

•Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration

•Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest

•Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration

•Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks

This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence.

Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition inthe Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene.

Topics and features:

•Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy

•Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal

•Discusses the information recorded in a digital image, and the image processing algorithms that can improvethe visual qualities of the image

•Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration

•Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest

•Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration

•Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks

This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence.

Dr. Cosimo Distante is a Research Scientist in Computer Visionand Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc.

The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc.

The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc.

The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition.