Scene Vision: Making Sense of What We See (MIT Press)
暫譯: 場景視覺：理解我們所見的事物 (MIT Press)

Scene Vision: Making Sense of What We See (MIT Press)
  • 出版商: MIT
  • 出版日期: 2014-11-07
  • 售價: $2,400
  • 貴賓價: 9.5 折 $2,280
  • 語言: 英文
  • 頁數: 328
  • 裝訂: Hardcover
  • ISBN: 0262027852
  • ISBN-13: 9780262027854

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

ContributorsElissa M. Aminoff, Moshe Bar, Margaret Bradley, Daniel I. Brooks, Marvin M. Chun, Ritendra Datta, Russell A. Epstein, Michèle Fabre-Thorpe, Elena Fedorovskaya, Jack L. Gallant, Helene Intraub, Dhiraj Joshi, Kestutis Kveraga, Peter J. Lang, Jia Li Xin Lu, Jiebo Luo, Quang-Tuan Luong, George L. Malcolm, Shahin Nasr, Soojin Park, Mary C. Potter, Reza Rajimehr, Dean Sabatinelli, Philippe G. Schyns, David L. Sheinberg, Heida Maria Sigurdardottir, Dustin Stansbury, Simon Thorpe, Roger Tootell, James Z. Wang

商品描述(中文翻譯)

對於許多年來，研究人員一直在研究物體的視覺識別——單一、乾淨、清晰且孤立的物體，呈現在螢幕中央的受試者面前。然而，在我們的真實環境中，物體並不會如此整齊地出現。我們的視覺世界是一個刺激的混亂場景；碎片、顏色、遮擋、運動、眼球運動、上下文和干擾都影響著感知。在本書中，開創性的研究者從神經影像學、心理學、建模、電生理學和計算機視覺的角度探討場景的視覺認知。

基於過去的研究——並接受將我們從物體識別研究中學到的知識應用於場景視覺認知的挑戰——這些領先的學者考慮了空間視覺、上下文、快速感知、情感、注意力、記憶以及場景表徵背後的神經機制等問題。綜合他們的貢獻，提供了我們目前對於如何理解場景及周圍視覺世界的知識快照。

貢獻者：Elissa M. Aminoff, Moshe Bar, Margaret Bradley, Daniel I. Brooks, Marvin M. Chun, Ritendra Datta, Russell A. Epstein, Michèle Fabre-Thorpe, Elena Fedorovskaya, Jack L. Gallant, Helene Intraub, Dhiraj Joshi, Kestutis Kveraga, Peter J. Lang, Jia Li Xin Lu, Jiebo Luo, Quang-Tuan Luong, George L. Malcolm, Shahin Nasr, Soojin Park, Mary C. Potter, Reza Rajimehr, Dean Sabatinelli, Philippe G. Schyns, David L. Sheinberg, Heida Maria Sigurdardottir, Dustin Stansbury, Simon Thorpe, Roger Tootell, James Z. Wang

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