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Handbook of Experimental Phenomenology - Visual Perception of Shape, Space and Appearance
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Handbook of Experimental Phenomenology - Visual Perception of Shape, Space and Appearance
von: Liliana Albertazzi
Wiley-Blackwell, 2013
ISBN: 9781118329078
560 Seiten, Download: 9366 KB
 
Format: EPUB
geeignet für: geeignet für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's Apple iPod touch, iPhone und Android Smartphones Online-Lesen PC, MAC, Laptop

Typ: A (einfacher Zugriff)

 

 
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Kurzinformation

While the scientific study of vision is well-advanced, a universal theory of qualitative visual appearances (texture, shape, colour and so on) is still lacking. This interdisciplinary handbook presents the work of leading researchers around the world who have taken up the challenge of defining and formalizing the field of ‘experimental phenomenology'.

  • Presents and discusses a new perspective in vision science, and formalizes a field of study that will become increasingly significant to researchers in visual science and beyond
  • The contributors are outstanding scholars in their fields with impeccable academic credentials, including Jan J. Koenderink, Irving Biederman, Donald Hoffmann, Steven Zucker and Nikos Logothetis
  • Divided into five parts: Linking Psychophysics and Qualities; Qualities in Space, Time and Motion; Appearances; Measurement and Qualities; Science and Aesthetics of Appearances
  • Each chapter will have the same structure consisting of: topic overview; historical roots; debate; new perspective; methods; results and recent developments


Liliana Albertazzi is a Principal Investigator at the Center for Mind/Brain Sciences (CIMEC), and Professor at the Department of Humanities of Trento University, Italy. Her research investigates phenomenal qualities, and the nature of perceptual space/time and visual operations. She has led a major international project to develop an accurate descriptive theory of appearances on an experimental basis. She is the editor of Perception Beyond Inference: The Information Content of Visual Processes (2011).



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