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Poster Communications Year : 2007

A Model of Binocular Gaze Estimation

Abstract

Binocular image-pairs contain information about the three-dimensional structure of the visible scene, which can be recovered by the identification of corresponding points. However, the resulting disparity field also depends on the orientation of the eyes. If it is assumed that the exact eye-positions cannot be obtained from oculomotor feedback, then the gaze parameters must also be recovered from the images, in order to properly interpret the retinal disparity field. Existing models of biological stereopsis have addressed this issue independently of the binocularcorrespondence problem. It has been correctly assumed that if the correspondence problem can be solved, then the disparity field can be decomposed into gaze and structure components, as described above. In this work we take a different approach; we emphasize that although the complete point-wise disparity field is sufficient for gaze estimation, it is not in fact necessary. We show that the gaze parameters can be recovered directly from the images, independently of the point-wise correspondences.
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Dates and versions

inria-00590233 , version 1 (03-05-2011)

Identifiers

  • HAL Id : inria-00590233 , version 1

Cite

Miles Hansard, Radu Horaud. A Model of Binocular Gaze Estimation. COSYNE 2007 - 4th Computational and Systems Neuroscience Meeting, Feb 2007, Salt Lake City, United States. , 2007. ⟨inria-00590233⟩
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