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Author: Massachusetts Institute of Technology. Artificial Intelligence Laboratory Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
How does the brain recognize three-dimensional objects? We trained monkeys to recognize computer rendered objects presented from an arbitrarily chosen {\it training} view, and subsequently tested their ability to generalize recognition for other views. Our results provide additional evidence in favor of with a recognition model that accomplishes view-invariant performance by storing a limited number of object views or templates together with the capacity to interpolate between the templates (Poggio and Edelman, 1990).
Author: Massachusetts Institute of Technology. Artificial Intelligence Laboratory Publisher: ISBN: Category : Languages : en Pages : 19
Book Description
How does the brain recognize three-dimensional objects? We trained monkeys to recognize computer rendered objects presented from an arbitrarily chosen {\it training} view, and subsequently tested their ability to generalize recognition for other views. Our results provide additional evidence in favor of with a recognition model that accomplishes view-invariant performance by storing a limited number of object views or templates together with the capacity to interpolate between the templates (Poggio and Edelman, 1990).
Author: Massachusetts Institute of Technology. Artificial Intelligence Laboratory Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
How does the brain recognize three-dimensional objects? We trained monkeys to recognize computer rendered objects presented from an arbitrarily chosen {\it training} view, and subsequently tested their ability to generalize recognition for other views. Our results provide additional evidence in favor of with a recognition model that accomplishes view-invariant performance by storing a limited number of object views or templates together with the capacity to interpolate between the templates (Poggio and Edelman, 1990).
Author: Michael J. Tarr Publisher: MIT Press ISBN: 9780262700702 Category : Psychology Languages : en Pages : 228
Book Description
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.
Author: Marcus Johannes Naumer Publisher: Springer Science & Business Media ISBN: 1441956158 Category : Medical Languages : en Pages : 383
Book Description
It should come as no surprise to those interested in sensory processes that its research history is among the longest and richest of the many systematic efforts to understand how our bodies function. The continuing obsession with sensory systems is as much a re?ection of the fundamental need to understand how we experience the physical world as it is to understand how we become who we are based on those very experiences. The senses function as both portal and teacher, and their individual and collective properties have fascinated scientists and philosophers for millennia. In this context, the attention directed toward specifying their properties on a sense-by-sense basis that dominated sensory research in the 20th century seems a prelude to our current preoccupation with how they function in concert. Nevertheless, it was the concentrated effort on the operational principles of in- vidual senses that provided the depth of understanding necessary to inform current efforts to reveal how they act cooperatively. We know that the information provided by any individual sensory modality is not always veridical, but is subject to a myriad of modality-speci?c distortions. Thus, the brain’s ability to compare across the senses and to integrate the information they provide is not only a way to examine the accuracy of any individual sensory channel but also a way to enhance the collective information they make available to the brain.
Author: Mary A. Peterson Publisher: Oxford University Press ISBN: 9780195347418 Category : Psychology Languages : en Pages : 410
Book Description
From a barrage of photons, we readily and effortlessly recognize the faces of our friends, and the familiar objects and scenes around us. However, these tasks cannot be simple for our visual systems--faces are all extremely similar as visual patterns, and objects look quite different when viewed from different viewpoints. How do our visual systems solve these problems? The contributors to this volume seek to answer this question by exploring how analytic and holistic processes contribute to our perception of faces, objects, and scenes. The role of parts and wholes in perception has been studied for a century, beginning with the debate between Structuralists, who championed the role of elements, and Gestalt psychologists, who argued that the whole was different from the sum of its parts. This is the first volume to focus on the current state of the debate on parts versus wholes as it exists in the field of visual perception by bringing together the views of the leading researchers. Too frequently, researchers work in only one domain, so they are unaware of the ways in which holistic and analytic processing are defined in different areas. The contributors to this volume ask what analytic and holistic processes are like; whether they contribute differently to the perception of faces, objects, and scenes; whether different cognitive and neural mechanisms code holistic and analytic information; whether a single, universal system can be sufficient for visual-information processing, and whether our subjective experience of holistic perception might be nothing more than a compelling illusion. The result is a snapshot of the current thinking on how the processing of wholes and parts contributes to our remarkable ability to recognize faces, objects, and scenes, and an illustration of the diverse conceptions of analytic and holistic processing that currently coexist, and the variety of approaches that have been brought to bear on the issues.
Author: Steven J. Luck Publisher: Oxford University Press ISBN: 0199719365 Category : Psychology Languages : en Pages : 347
Book Description
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.
Author: Tetsuro Matsuzawa Publisher: Springer Science & Business Media ISBN: 4431094237 Category : Science Languages : en Pages : 597
Book Description
Biologists and anthropologists in Japan have played a crucial role in the development of primatology as a scientific discipline. Publication of Primate Origins of Human Cognition and Behavior under the editorship of Tetsuro Matsuzawa reaffirms the pervasive and creative role played by the intellectual descendants of Kinji Imanishi and Junichiro Itani in the fields of behavioral ecology, psychology, and cognitive science. Matsuzawa and his colleagues-humans and other primate partners- explore a broad range of issues including the phylogeny of perception and cognition; the origin of human speech; learning and memory; recognition of self, others, and species; society and social interaction; and culture. With data from field and laboratory studies of more than 90 primate species and of more than 50 years of long-term research, the intellectual breadth represented in this volume makes it a major contribution to comparative cognitive science and to current views on the origin of the mind and behavior of humans.
Author: Massachusetts Institute of Technology. Artificial Intelligence Laboratory
Author: Massachusetts Institute of Technology. Artificial Intelligence Laboratory
Author: Massachusetts Institute of Technology. Artificial Intelligence Laboratory
Author: Michael J. Tarr
Author: 
Author: Marcus Johannes Naumer
Author: Mary A. Peterson
Author: Steven J. Luck
Author: Tetsuro Matsuzawa
Author: Patrick Shen-pei Wang
Author: Koen Lamberts