| Description |
1 online resource (xii, 216 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science ; 3899. Lecture notes in artificial intelligence |
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Lecture notes in computer science ; 3899.
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Lecture notes in computer science. Lecture notes in artificial intelligence
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| Contents |
1 Introduction -- 2 Background on Visual Attention -- 3 State of the Art of Computational Attention Systems -- 4 The Visual Attention System VOCUS: Bottom-Up Part -- 5 The Visual Attention System VOCUS: Top-Down Extension -- 6 Sensor Fusion -- 7 Attentive Classification -- 8 Conclusion -- A Basics of Computer Vision -- B The Viola-Jones Classifier -- C Explanation of Color Figures |
| Summary |
Object detection and recognition is a topic of significant interest in computer and robot vision. It is required in most applications of computational vision, for example, biometric systems, medical imaging, intelligent cars, factory automation, and image databases. One of the major challenges in designing object recognition systems is to construct methods that are fast and capable of operating on standard computer platforms. The more developed such systems become, the more urgent becomes the need for a pre-selection system that enables subsequent processing to focus only on relevant data. One mechanism to achieve this is visual attention: it selects regions in a visual scene that are most likely to contain objects of interest. The field of visual attention is currently the focus of much research for both biological and artificial systems. This monograph presents a complete computational system for visual attention and object detection: VOCUS (Visual Object detection with a CompUtational attention System) is a system capable of automatically selecting regions of interest in images and detecting specific objects. It represents a major step forward on integrating data-driven and model-driven information into a single framework. Additionally, the volume contains an extensive review of the literature on visual attention, detailed evaluations of VOCUS in different settings, and applications of the system in the context of object recognition and robotics |
| Analysis |
algoritmen |
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algorithms |
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computeranalyse |
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computer analysis |
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computergrafie |
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computer graphics |
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machine vision |
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beeldverwerking |
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image processing |
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computerwetenschappen |
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computer sciences |
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kunstmatige intelligentie |
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artificial intelligence |
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patroonherkenning |
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pattern recognition |
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Information and Communication Technology (General) |
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Informatie- en communicatietechnologie (algemeen) |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Ph. D. University of Bonn, Germany |
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Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
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Print version record |
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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
| Subject |
Attention.
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Visual perception -- Data processing
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Computer vision.
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Attention
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COMPUTERS -- Computer Vision & Pattern Recognition.
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Visual perception -- Data processing.
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Computer vision.
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Attention.
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Informatique.
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Attention
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Computer vision
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Visual perception -- Data processing
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Autonomer Roboter
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Maschinelles Lernen
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Maschinelles Sehen
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Objekterkennung
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Visuelle Aufmerksamkeit
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Zielverfolgung
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| Genre/Form |
dissertations.
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Academic theses
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Academic theses.
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Thèses et écrits académiques.
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| Form |
Electronic book
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| ISBN |
9783540327608 |
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3540327606 |
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3540327592 |
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9783540327592 |
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9786611404833 |
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661140483X |
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