![cover of the book Scene Vision: Making Sense of What We See](/covers/files_200/1394000/030762439d72e882f131f498db072c83-g.jpg)
Ebook: Scene Vision: Making Sense of What We See
- Tags: Computer Vision Pattern Recognition AI Machine Learning Science Computers Technology Behavioral Sciences Anthropology Psychology Cognitive Math Biology Cell Developmental Entomology Marine Microbiology Molecular Biostatistics Biological Neurology Alzheimer s Disease Headache Neuroscience Internal Medicine Algorithms Artificial Intelligence Database Storage Design Graphics Visualization Networking Object Oriented Software Operating Systems Programming Languages Engineering New Used Rental Textboo
- Year: 2014
- Publisher: The MIT Press
- Edition: 1st
- Language: English
- pdf
For many years, researchers have studied visual recognition with objects—single, clean, clear, and isolated objects, presented to subjects at the center of the screen. In our real environment, however, objects do not appear so neatly. Our visual world is a stimulating scenery mess; fragments, colors, occlusions, motions, eye movements, context, and distraction all affect perception. In this volume, pioneering researchers address the visual cognition of scenes from neuroimaging, psychology, modeling, electrophysiology, and computer vision perspectives.
Building on past research—and accepting the challenge of applying what we have learned from the study of object recognition to the visual cognition of scenes—these leading scholars consider issues of spatial vision, context, rapid perception, emotion, attention, memory, and the neural mechanisms underlying scene representation. Taken together, their contributions offer a snapshot of our current knowledge of how we understand scenes and the visual world around us.
Building on past research—and accepting the challenge of applying what we have learned from the study of object recognition to the visual cognition of scenes—these leading scholars consider issues of spatial vision, context, rapid perception, emotion, attention, memory, and the neural mechanisms underlying scene representation. Taken together, their contributions offer a snapshot of our current knowledge of how we understand scenes and the visual world around us.
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