The Role of Attention in Viewpoint-invariant Object Recognition

The Role of Attention in Viewpoint-invariant Object Recognition PDF Author: Brian John Stankiewicz
Publisher:
ISBN:
Category :
Languages : en
Pages : 228

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The Role of Attention in Viewpoint-invariant Object Recognition

The Role of Attention in Viewpoint-invariant Object Recognition PDF Author: Brian John Stankiewicz
Publisher:
ISBN:
Category :
Languages : en
Pages : 228

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Book Description


Object Recognition, Attention, and Action

Object Recognition, Attention, and Action PDF Author: Naoyuki Osaka
Publisher: Springer Science & Business Media
ISBN: 4431730192
Category : Medical
Languages : en
Pages : 252

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Book Description
Human object recognition is a classical topic both for philosophy and for the natural sciences. Ultimately, understanding of object recognition will be promoted by the cooperation of behavioral research, neurophysiology, and computation. This original book provides an excellent introduction to the issues that are involved. It contains chapters that address the ways in which humans and machines attend to, recognize, and act toward objects in the visual environment.

Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint

Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint PDF Author: Lucas Paletta
Publisher: Springer
ISBN: 3540773436
Category : Computers
Languages : en
Pages : 507

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Book Description
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.

Visual Object Recognition

Visual Object Recognition PDF Author: Kristen Grauman
Publisher: Morgan & Claypool Publishers
ISBN: 1598299689
Category : Computers
Languages : en
Pages : 184

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Book Description
The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Mechanisms of Visual Attention

Mechanisms of Visual Attention PDF Author: Werner X. Schneider
Publisher: Psychology Press
ISBN: 9780863779817
Category : Psychology
Languages : en
Pages : 322

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Book Description
In order to produce coherent behaviour in a complex world, forms of visual attention are necessary in order for us to select appropriate objects for action. Over the past ten years, there have been considerable advances in research into visual attention, with many of these advances linked to interdisciplinary research in experimental psychology, neuropsychology, neurophysiology and functional imaging. This work has begun to allow us to understand not only the functional properties of visual attention, but also how attentional processes are localized in the brain: the cognitive neuroscience of visual attention. This special issue draws together research from leading figures in this field, to highlight recent progress in understanding how selective processes operate in perception and action.

The Visual Neurosciences

The Visual Neurosciences PDF Author: John Simon Werner
Publisher: MIT Press
ISBN: 0262033089
Category : Cell physiology
Languages : en
Pages : 975

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Book Description
An essential reference book for visual science.

Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint

Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint PDF Author: Lucas Paletta
Publisher: Springer Science & Business Media
ISBN: 3540773428
Category : Computers
Languages : en
Pages : 507

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Book Description
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.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

Representations and Techniques for 3D Object Recognition and Scene Interpretation PDF Author: Derek Hoiem
Publisher: Morgan & Claypool Publishers
ISBN: 1608457281
Category : Computers
Languages : en
Pages : 172

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Book Description
One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions

Handbook of Object Novelty Recognition

Handbook of Object Novelty Recognition PDF Author:
Publisher: Academic Press
ISBN: 0128120142
Category : Medical
Languages : en
Pages : 602

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Book Description
Handbook of Object Novelty Recognition, Volume 26, synthesizes the empirical and theoretical advances in the field of object recognition and memory that have occurred since the development of the spontaneous object recognition task. The book is divided into four sections, covering vision and perception of object features and attributions, definitions of concepts that are associated with object recognition, the influence of brain lesions and drugs on various memory functions and processes, and models of neuropsychiatric disorders based on spontaneous object recognition tasks. A final section covers genetic and developmental studies and gender and hormone studies. - Details the brain structures and the neural circuits that underlie memory of objects, including vision and olfaction - Provides a thorough description of the object novelty recognition task, variations on the basic task, and methods and techniques to help researchers avoid common pitfalls - Assists researchers in understanding all aspects of object memory, conducting object novelty recognition tests, and producing reliable, reproducible results

High-level Vision

High-level Vision PDF Author: Shimon Ullman
Publisher: MIT Press
ISBN: 9780262710077
Category : Computers
Languages : en
Pages : 438

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Book Description
Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing position, illumination, occlusion, and object shape. The second, visual cognition, involves the extraction of shape properties and spatial relations in the course of performing visual tasks such as object manipulation, planning movements in the environment, or interpreting graphical material such as diagrams, graphs and maps. The book first takes up object recognition and develops a novel approach to the recognition of three-dimensional objects. It then studies a number of related issues in high-level vision, including object classification, scene segmentation, and visual cognition. Using computational considerations discussed throughout the book, along with psychophysical and biological data, the final chapter proposes a model for the general flow of information in the visual cortex. Understanding vision is a key problem in the brain sciences, human cognition, and artificial intelligence. Because of the interdisciplinary nature of the theories developed in this work, High-Level Vision will be of interest to readers in all three of these fields.