Psychophysics of Place Recognition

Mallot, Hanspeter A.; Lancier, Stephan; Halfmann, Marc

doi:10.1007/978-3-319-68189-4_8

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…The consequence is that objects are treated in a more simplistic way (equivalent to assuming that the target objects all lie on a plane) than would be the case if the internal model behaved according to the geometry of a real 3D model. There is increasing interest in models of processing at all levels, from a '2 1 2 D sketch' [61,62] through to pointing and navigation, that avoid the necessity for building a 3D model of surfaces or scene layout [63,64]. Recent findings using 'Generative Query Networks' [8] suggest that we may see rapid advances in our understanding of the process of 'imagining' novel views of an observed scene and how this might be achieved without using a 3D reconstruction.…”

Section: Discussionmentioning

confidence: 99%

No single, stable 3D representation can explain pointing biases in a spatial updating task

Vuong¹,

Fitzgibbon

Glennerster³

2018

Preprint

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Section: Discussionmentioning

confidence: 99%

No single, stable 3D representation can explain pointing biases in a spatial updating task

Vuong¹,

Fitzgibbon

Glennerster³

2018

Preprint

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No single, stable 3D representation can explain pointing biases in a spatial updating task

Vuong

Fitzgibbon

Glennerster

2019

Sci Rep

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People are able to keep track of objects as they navigate through space, even when objects are out of sight. This requires some kind of representation of the scene and of the observer’s location but the form this might take is debated. We tested the accuracy and reliability of observers’ estimates of the visual direction of previously-viewed targets. Participants viewed four objects from one location, with binocular vision and small head movements then, without any further sight of the targets, they walked to another location and pointed towards them. All conditions were tested in an immersive virtual environment and some were also carried out in a real scene. Participants made large, consistent pointing errors that are poorly explained by any stable 3D representation. Any explanation based on a 3D representation would have to posit a different layout of the remembered scene depending on the orientation of the obscuring wall at the moment the participant points. Our data show that the mechanisms for updating visual direction of unseen targets are not based on a stable 3D model of the scene, even a distorted one.

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Psychophysics of Place Recognition

Cited by 2 publications

References 37 publications

No single, stable 3D representation can explain pointing biases in a spatial updating task

No single, stable 3D representation can explain pointing biases in a spatial updating task

No single, stable 3D representation can explain pointing biases in a spatial updating task

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