Visual Attention for Robotic Cognition
Author | : Momotaz Begum |
Publisher | : |
Total Pages | : |
Release | : 2010 |
Genre | : |
ISBN | : |
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Author | : Momotaz Begum |
Publisher | : |
Total Pages | : |
Release | : 2010 |
Genre | : |
ISBN | : |
Author | : W.H. Zangemeister |
Publisher | : Elsevier |
Total Pages | : 413 |
Release | : 1996-09-23 |
Genre | : Psychology |
ISBN | : 0080545033 |
The goal of this book is to put together some of the main interdisciplinary aspects that play a role in visual attention and cognition. The book is aimed at researchers and students with interdisciplinary interest. In the first chapter a general discussion of the influential scanpath theory and its implications for human and robot vision is presented. Subsequently, four characteristic aspects of the general theme are dealt with in topical chapters, each of which presents some of the different viewpoints of the various disciplines involved. They cover neuropsychology, clinical neuroscience, modeling, and applications. Each of the chapters opens with a synopsis tying together the individual contributions.
Author | : Yuanlong Yu |
Publisher | : |
Total Pages | : 488 |
Release | : 2010 |
Genre | : Cognitive science |
ISBN | : |
Author | : Alexandros Iosifidis |
Publisher | : Academic Press |
Total Pages | : 638 |
Release | : 2022-02-04 |
Genre | : Computers |
ISBN | : 0323885721 |
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
Author | : Liming Zhang |
Publisher | : John Wiley & Sons |
Total Pages | : 344 |
Release | : 2013-03-15 |
Genre | : Technology & Engineering |
ISBN | : 1118060059 |
Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms
Author | : |
Publisher | : |
Total Pages | : 10 |
Release | : 1985 |
Genre | : Robotics |
ISBN | : |
Author | : Jay Friedenberg |
Publisher | : Psychology Press |
Total Pages | : 178 |
Release | : 2013 |
Genre | : Philosophy |
ISBN | : 1848729057 |
This book is an ambitious, interdisciplinary survey of the empirical literature on many different aspects of visual attention and consciousness. It may be used as a primary or ancillary text for graduate courses in perception, vision, consciousness or philosophy of mind.
Author | : Danica Kragic |
Publisher | : Now Publishers Inc |
Total Pages | : 94 |
Release | : 2009 |
Genre | : Artificial vision |
ISBN | : 1601982607 |
Robot vision refers to the capability of a robot to visually perceive the environment and use this information for execution of various tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In the recent years, there are also examples that include interaction with people and manipulation of objects. In this paper, we review some of the work that goes beyond of using artificial landmarks and fiducial markers for the purpose of implementing visionbased control in robots. We discuss different application areas, both from the systems perspective and individual problems such as object tracking and recognition.
Author | : Lucas Paletta |
Publisher | : Springer Science & Business Media |
Total Pages | : 507 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 3540773428 |
This volume provides a much-needed interdisciplinary angle on the subject of attention in cognitive systems. It constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, held in Hyderabad, India, in January 2007. The 31 papers are organized in topical sections that cover every aspect of the subject, from the embodiment of attention and its cognitive control, to the applications of attentive vision.
Author | : Wenfeng Wang |
Publisher | : Springer |
Total Pages | : 166 |
Release | : 2019-02-14 |
Genre | : Technology & Engineering |
ISBN | : 9811335494 |
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.