Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.
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Neural Mechanisms of Saliency, Attention, and Orienting |
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1 | (24) |
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Insights on Vision Derived from Studying Human Single Neurons |
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25 | (16) |
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Recognition of Occluded Objects |
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41 | (18) |
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Towards a Theory of Computation in the Visual Cortex |
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59 | (26) |
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Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex |
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85 | (20) |
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Speed Versus Accuracy in Visual Search: Optimal Performance and Neural Implementations |
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105 | (36) |
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The Pupil as Marker of Cognitive Processes |
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141 | (30) |
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171 | (24) |
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Vision and Memory: Looking Beyond Immediate Visual Perception |
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195 | (26) |
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Approaches to Understanding Visual Illusions |
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221 | (14) |
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Impact of Neuroscience in Robotic Vision Localization and Navigation |
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235 | (42) |
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Attention and Cognition: Principles to Guide Modeling |
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277 | (20) |
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Computational Neuroscience of Vision: Visual Disorders |
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297 | |
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Dr. Catherine Qi Zhao is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. She obtained her Ph.D. from the University of California, Santa Cruz, followed by postdoctoral training at the California Institute of Technology. Prior to joining the University of Minnesota, she was an assistant professor in the Department of Electrical and Computer Engineering and the Department of Ophthalmology at the National University of Singapore, and the principal investigator at the Visual Information Processing Lab. Her main research interests include computational vision, machine learning, cognitive neuroscience, and mental disorders.
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