Download or read book Representations of Shape in Object Recognition and Long Term Visual Memory written by and published by . This book was released on 1993 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: A variety of studies examining the mechanisms and representations underlying human object recognition have been conducted. One track has investigated the role of view-based object representations in perception and recognition. Results indicate that certain classes of viewpoint-dependent features may be used to define boundaries between characteristic views of objects. A second track has investigated the interaction between orientation- dependent and orientation-independent recognition mechanisms. Results here indicate that humans learn both object-based, orientation-independent and view- based, orientation-dependent representations regardless of the initial learning context. Other results indicate that task conditions mediate whether structural descriptions or episodic representations of objects are used in performing an implicit memory task. Finally, a third track has investigated the nature of spatial relations between objects, as well as the relationship between perceptual and lexical representations of spatial relations. Results indicate that spatial prepositions (e.g., above, left) encode the relationship between figural and reference objects as a gradient that decreases with distance from the qualitative or veridical position. Moreover, results indicate that this may in part be a lexical effect, in that stronger qualitative effects are found when subjects have lexically encoded the relationship - although further results indicate that qualitative gradients are present in purely perceptual judgments. . Object Representation, Object Recognition, Visual Cognition.
Download or read book Touch and Blindness written by Morton A. Heller and published by Psychology Press. This book was released on 2006-04-21 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on touch and blindness has undergone rapid transformation in recent years, with dramatic developments in technology designed to provide assistance to those who are blind, and advancements in robotics that demand haptic interfaces. Touch and Blindness approaches the study of the topic from the perspectives of psychological methodology and the most sophisticated, state-of-the-art techniques in neuroscience. This book, edited by well-known leaders in the field, is derived from the discussions presented by speakers at a conference held in 2002, and presents current research in the field. The book is arranged in a logical, disciplinary fashion, first discussing touch and blindness from a psychological perspective, followed by an examination from the perspective of neuroscience. Some specific topics include: *processing spatial information from touch and movement; *form, projection, and pictures for the blind; *neural substrate and visual and tactile object representations; and *the role of visual cortex in tactile processing. Touch and Blindness is ideal for researchers in psychology and neuroscience, medicine, and special education.
Download or read book Multiple Representations of Object Shape in Cortex written by Sean Patrick McAuliffe and published by . This book was released on 2000 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Memory written by Steven J. Luck and published by Oxford University Press. This book was released on 2008-09-10 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vision and memory are two of the most intensively studied topics in psychology and neuroscience. The present book concerns the interaction between vision and memory: How do we remember what we see? And how does our memory for the visual world influence subsequent perception and action? topics in psychology and neuroscience, and the intersection etween them--visual memory--is emerging as a fertile ground for research. Certain memory systems appear to specialize in This book provides a state-of-the-art account of visual memory systems. Each chapter is written by an internationally renowned researcher, who has made seminal contributions to the topic. The chapters are comprehensive, providing both a broad overview of each topic and a summary of the latest research. They also present new perspectives that advance our theoretical understanding of visual memory and suggest directions for future research. After an introductory overview by the editors, chapters address visual sensory memory (iconic memory), visual short-term memory, and the relationship between visual memory and eye movements. Visual long-term memory is then reviewed from several different perspectives, including memory for natural scenes, the relationship between visual memory and object recognition, and associative learning. The final chapters discuss the neural mechanisms of visual memory and neuropsychological deficits in visual memory. This book is a comprehensive guide to visual memory research that will be a valuable resource for both students and professionals.
Download or read book A Case Study in Visual Agnosia Revisited written by Glyn Humphreys and published by Psychology Press. This book was released on 2013-10-15 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual agnosia is a rare but fascinating disorder of visual object recognition that can occur after a brain lesion. This book documents the case of John, who worked intensively with the authors for 26 years after acquiring visual agnosia following a stroke. It revisits John’s case over twenty years after it was originally described in the book To See But Not To See, in 1987. As in the previous book, the condition is illuminated by John and his wife, Iris, in their own words. A Case Study in Visual Agnosia Revisited discusses John’s case in the context of research into the cognitive neuroscience of vision over the past twenty years. It shows how John’s problems in recognition can provide important insights into the way that object recognition happens in the brain, with the results obtained in studies of John’s perception being compared to emerging work from brain imaging in normal observers. The book presents a much fuller analysis of the variety of perceptual problems that John experienced, detailing not only his impaired object recognition but also his face processing, his processing of different visual features (colour, motion, depth), his ability to act on and negotiate his environment, and his reading and writing. A Case Study in Visual Agnosia Revisited will be a key reference for those concerned with understanding how vision is implemented in the brain. It will be suitable for both undergraduate students taking courses in cognitive psychology and neuropsychology, and also researchers in the cognitive neuroscience of vision. The presentation of John’s case, and the human aspects of the disorder, will also be of great interest to a general audience of lay people interested in perception.
Download or read book Computational Approaches to Human Shape Representation written by and published by . This book was released on 1994 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary goal of this project has been a computational investigation into the underlying representations used in human object recognition. To this end, we began with a relatively new approach to object representation in computer vision, that of aspect graphs (Koenderink & van Doom, 1979). An aspect graph representation is a complete representation of an object at all image resolutions that relies on a small class of topological invariants in the line drawing of the object. Because these invariants are qualitative configurations of viewpoint-dependent features, becoming visible or occluded with changes in viewpoint relative to the object, the representation is a linked set of characteristic views defined by unique configurations of features (Freeman & Chakravarty, 1980). The aspect graph approach has gained in popularity as computational methods for deriving aspect graphs from three-dimensional models have been developed (e.g., Eggert, 1991; Kriegman & Ponce, 1990). Quite independently, there has been growing interest within psychology in the view-based approach to object representation. In particular, several researchers have demonstrated that object recognition of both novel and familiar objects is often viewpoint dependent (e.g., Bulthoff & Edelman, 1992; Jolicoeur, 1985; Tarr & Pinker, 1989). Such results led to the multiple-views hypothesis that objects are represented in human visual memory as a collection of viewpoint-specific images. In this approach, objects are recognized by normalizing an image of the perceived object to the nearest encoded view. One of the most crucial open questions in the multiple-views approach has been how such representations acquired and organized, and, specifically, what features are used within the representation and to delineate the boundaries between views.
Download or read book Visual Memory written by Steven J. Luck and published by OUP USA. This book was released on 2008-09-10 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vision and memory are two of the most intensively studied topics in psychology and neuroscience. This book provides a state-of-the-art account of visual memory systems. Each chapter is written by an internationally renowned researcher, who has made seminal contributions to the topic.
Download or read book Visual Cognition written by Steven Pinker and published by MIT Press. This book was released on 1986-01-09 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: These essays tackle some of the central issues in visual cognition, presenting experimental techniques from cognitive psychology, new ways of modeling cognitive processes on computers from artificial intelligence, and new ways of studying brain organization from neuropsychology, to address such questions as: How do we recognize objects in front of us? How do we reason about objects when they are absent and only in memory? How do we conceptualize the three dimensions of space? Do different people do these things in different ways? And where are these abilities located in the brain? While this research, which appeared as a special issue of the journal Cognition, is at the cutting edge of cognitive science, it does not assume a highly technical background on the part of readers. The book begins with a tutorial introduction by the editor, making it suitable for specialists and nonspecialists alike.
Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Working Memory Capacity written by Nelson Cowan and published by Psychology Press. This book was released on 2016-04-14 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of one's memory "filling up" is a humorous misconception of how memory in general is thought to work; it actually has no capacity limit. However, the idea of a "full brain" makes more sense with reference to working memory, which is the limited amount of information a person can hold temporarily in an especially accessible form for use in the completion of almost any challenging cognitive task. This groundbreaking book explains the evidence supporting Cowan's theoretical proposal about working memory capacity, and compares it to competing perspectives. Cognitive psychologists profoundly disagree on how working memory is limited: whether by the number of units that can be retained (and, if so, what kind of units and how many), the types of interfering material, the time that has elapsed, some combination of these mechanisms, or none of them. The book assesses these hypotheses and examines explanations of why capacity limits occur, including vivid biological, cognitive, and evolutionary accounts. The book concludes with a discussion of the practical importance of capacity limits in daily life. This 10th anniversary Classic Edition will continue to be accessible to a wide range of readers and serve as an invaluable reference for all memory researchers.
Download or read book How Humans Recognize Objects Segmentation Categorization and Individual Identification written by Chris Fields and published by Frontiers Media SA. This book was released on 2016-08-18 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human beings experience a world of objects: bounded entities that occupy space and persist through time. Our actions are directed toward objects, and our language describes objects. We categorize objects into kinds that have different typical properties and behaviors. We regard some kinds of objects – each other, for example – as animate agents capable of independent experience and action, while we regard other kinds of objects as inert. We re-identify objects, immediately and without conscious deliberation, after days or even years of non-observation, and often following changes in the features, locations, or contexts of the objects being re-identified. Comparative, developmental and adult observations using a variety of approaches and methods have yielded a detailed understanding of object detection and recognition by the visual system and an advancing understanding of haptic and auditory information processing. Many fundamental questions, however, remain unanswered. What, for example, physically constitutes an “object”? How do specific, classically-characterizable object boundaries emerge from the physical dynamics described by quantum theory, and can this emergence process be described independently of any assumptions regarding the perceptual capabilities of observers? How are visual motion and feature information combined to create object information? How are the object trajectories that indicate persistence to human observers implemented, and how are these trajectory representations bound to feature representations? How, for example, are point-light walkers recognized as single objects? How are conflicts between trajectory-driven and feature-driven identifications of objects resolved, for example in multiple-object tracking situations? Are there separate “what” and “where” processing streams for haptic and auditory perception? Are there haptic and/or auditory equivalents of the visual object file? Are there equivalents of the visual object token? How are object-identification conflicts between different perceptual systems resolved? Is the common assumption that “persistent object” is a fundamental innate category justified? How does the ability to identify and categorize objects relate to the ability to name and describe them using language? How are features that an individual object had in the past but does not have currently represented? How are categorical constraints on how objects move or act represented, and how do such constraints influence categorization and the re-identification of individuals? How do human beings re-identify objects, including each other, as persistent individuals across changes in location, context and features, even after gaps in observation lasting months or years? How do human capabilities for object categorization and re-identification over time relate to those of other species, and how do human infants develop these capabilities? What can modeling approaches such as cognitive robotics tell us about the answers to these questions? Primary research reports, reviews, and hypothesis and theory papers addressing questions relevant to the understanding of perceptual object segmentation, categorization and individual identification at any scale and from any experimental or modeling perspective are solicited for this Research Topic. Papers that review particular sets of issues from multiple disciplinary perspectives or that advance integrative hypotheses or models that take data from multiple experimental approaches into account are especially encouraged.
Download or read book Spatial Variation of Object Representation in Human Visual System written by Fang Fang and published by . This book was released on 2006 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neurology of Vision and Visual Disorders written by and published by Elsevier. This book was released on 2021-04-06 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurology of Vision and Visual Disorders, Volume 178 in the Handbooks of Neurology series provides comprehensive summaries of recent research on the brain and nervous system. This volume reviews alterations in vision that stem from the retina to the cortex. Coverage includes content on vision and driving derived from the large amount of time devoted in clinics to determining who is safe to drive, along with research on the interplay between visual loss, attention and strategic compensations that may determine driving suitability. The title concludes with vision therapies and the evidence behind these approaches. Each chapter is co-written by a basic scientist collaborating with a clinician to provide a solid underpinning of the mechanisms behind the clinical syndromes. - Reviews the neurological underpinnings of visual perception disorders - Encompasses the cortex to the retina - Covers functional organization, electrophysiology and subcortical visual pathways - Discusses assessment, diagnosis and management of visual perception disorders - Includes international experts from Australia, Canada, Denmark, Germany, Singapore, and the UK and US
Download or read book Object Recognition in Man Monkey and Machine written by Michael J. Tarr and published by MIT Press. This book was released on 1999-03-15 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition. These interconnected essays on three-dimensional visual object recognition present cutting-edge research by some of the most creative neuroscientific, cognitive, and computational scientists in the field. Cassandra Moore and Patrick Cavanagh take a classic demonstration, the perception of "two-tone" images, and turn it into a method for understanding the nature of object representations in terms of surfaces and the interaction between bottom-up and top-down processes. Michael J. Tarr and Isabel Gauthier use computer graphics to study whether viewpoint-dependent recognition mechanisms can generalize between exemplars of perceptually defined classes. Melvyn A. Goodale and G. Keith Humphrey use innovative psychophysical techniques to investigate dissociable aspects of visual and spatial processing in brain-injured subjects. D.I. Perrett, M.W. Oram, and E. Ashbridge combine neurophysiological single-cell data from monkeys with computational analyses for a new way of thinking about the mechanisms that mediate viewpoint-dependent object recognition and mental rotation. Shimon Ullman also addresses possible mechanisms to account for viewpoint-dependent behavior, but from the perspective of machine vision. Finally, Philippe G. Schyns synthesizes work from many areas, to provide a coherent account of how stimulus class and recognition task interact. The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition.
Download or read book Vision written by David Marr and published by MIT Press. This book was released on 2010-07-09 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.
Download or read book Representation of Similarity in 3D Object Recognition written by Mekhon Ṿaitsman le-madaʻ. Dept. of Applied Mathematics and Computer Science and published by . This book was released on 1994 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "How does the brain represent visual objects? In simple perceptual generalization tasks, the human visual system performs as if it represents the stimuli in a low-dimensional metric psychological space [1]. In theories of 3D shape recognition, the role of feature-space representations (as opposed to structural [2] or pictorial [3] descriptions) has been for a long time a major point of contention. If shapes are indeed represented as points in a feature space, patterns of perceived similarity among different objects must reflect the structure of this space. The feature space hypothesis can then be tested by presenting subjects with complex parameterized 3D shapes, and by relating the similarities among subjective representations, as revealed in the response data by multidimensional scaling [4], to the objective parameterization of the stimuli. The results of four such tests, reported below, support the notion that discrimination among 3D objects may rely on a low-dimensional feature space representation, and suggest that this space may be spanned by explicitly encoded class prototypes."
