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View-Based Approaches to Spatial Representation in Human Vision

  • Andrew Glennerster
  • Miles E. Hansard
  • Andrew W. Fitzgibbon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5604)

Abstract

In an immersive virtual environment, observers fail to notice the expansion of a room around them and consequently make gross errors when comparing the size of objects. This result is difficult to explain if the visual system continuously generates a 3-D model of the scene based on known baseline information from interocular separation or proprioception as the observer walks. An alternative is that observers use view-based methods to guide their actions and to represent the spatial layout of the scene. In this case, they may have an expectation of the images they will receive but be insensitive to the rate at which images arrive as they walk. We describe the way in which the eye movement strategy of animals simplifies motion processing if their goal is to move towards a desired image and discuss dorsal and ventral stream processing of moving images in that context. Although many questions about view-based approaches to scene representation remain unanswered, the solutions are likely to be highly relevant to understanding biological 3-D vision.

Keywords

Spatial Representation Human Vision Reference Location Optic Centre Dorsal Stream 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Andrew Glennerster
    • 1
  • Miles E. Hansard
    • 2
  • Andrew W. Fitzgibbon
    • 3
  1. 1.University of ReadingReadingUK
  2. 2.INRIA Rhône-AlpesMontbonnotFrance
  3. 3.Microsoft ResearchCambridgeUK

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