Opening book details…
Can I read Scene Vision: Making Sense of What We See (The MIT Press) on EtoBox?
Scene Vision: Making Sense of What We See (The MIT Press) by Kestutis Kveraga; Moshe Bar; Helene Intraub; George L. Malcolm; Philippe G. Schyns; Soojin Park; Marvin M. Chun; Reza Rajimehr; Shahin Nasr; Roger Tootell; Daniel I. Brooks; Heida Maria Sigurdardottir; David L. Sheinberg; Russell A. Epstein; Elissa M. Aminoff; Michele Fabre-Thorpe; Mary C. Potter; Simon J. Thorpe; Dustin Stansbury; Jack Gallant; Dhiraj Joshi; Ritendra Datta; Elena Fedorovskaya; Xin Lu; Quang-Tuan Luong; James Z. Wang; Jia Li; Jiebo Luo; Margaret Bradley; Dean P. Sabatinelli; Peter J. Lang is a nonfiction available to read on EtoBox.
What is Scene Vision: Making Sense of What We See (The MIT Press) about?
Cutting-edge research on the visual cognition of scenes, covering issues that include spatial vision, context, emotion, attention, memory, and neural mechanisms underlying scene representation. 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 visu
Who reads Scene Vision: Making Sense of What We See (The MIT Press)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kestutis Kveraga; Moshe Bar; Helene Intraub; George L. Malcolm; Philippe G. Schyns; Soojin Park; Marvin M. Chun; Reza Rajimehr; Shahin Nasr; Roger Tootell; Daniel I. Brooks; Heida Maria Sigurdardottir; David L. Sheinberg; Russell A. Epstein; Elissa M. Aminoff; Michele Fabre-Thorpe; Mary C. Potter; Simon J. Thorpe; Dustin Stansbury; Jack Gallant; Dhiraj Joshi; Ritendra Datta; Elena Fedorovskaya; Xin Lu; Quang-Tuan Luong; James Z. Wang; Jia Li; Jiebo Luo; Margaret Bradley; Dean P. Sabatinelli; Peter J. Lang
- Publisher
- The MIT Press
- Published
- 2014
- Language
- EN
- ISBN
- 9780262319898
- Category
- nonfiction
- Subjects
- Computer Science, Psychology, Science
More by Kestutis Kveraga; Moshe Bar; Helene Intraub; George L. Malcolm; Philippe G. Schyns; Soojin Park; Marvin M. Chun; Reza Rajimehr; Shahin Nasr; Roger Tootell; Daniel I. Brooks; Heida Maria Sigurdardottir; David L. Sheinberg; Russell A. Epstein; Elissa M. Aminoff; Michele Fabre-Thorpe; Mary C. Potter; Simon J. Thorpe; Dustin Stansbury; Jack Gallant; Dhiraj Joshi; Ritendra Datta; Elena Fedorovskaya; Xin Lu; Quang-Tuan Luong; James Z. Wang; Jia Li; Jiebo Luo; Margaret Bradley; Dean P. Sabatinelli; Peter J. Lang
Similar books
- Blind Vision: The Neuroscience of Visual Impairment (The MIT Press) — Zaira Cattaneo and Tomaso Vecchi (2011)
- Objects of Vision: Making Sense of What We See (Perspectives on Sensory History) — A. Joan Saab; Susan B Anthony Professor A Joan Saab (2020)
- Vision: A Computational Investigation into the Human Representation and Processing of Visual Information (The MIT Press) — David Marr, Tomaso A. Poggio, Shimon Ullman (2010)
- Computation, Cognition, and Pylyshyn (The MIT Press) — Dedrick, Don.; Trick, Lana (2009)
- Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press) — Polley, David E.; Börner, Katy (2014)
- Why We See What We Do : an Empirical Theory of Vision — R. Beau Lotto Dale Purves (2003)
