December 2001
Volume 1, Issue 3
Free
Vision Sciences Society Annual Meeting Abstract  |   December 2001
Temporal integration in structure from motion
Author Affiliations
  • Q. C. Vuong
    Cognitive and Linguistic Sciences, Brown University, Providence, RI, USA
  • F. Domini
    Cognitive and Linguistic Sciences, Brown University, Providence, RI, USA
  • C. Caudek
    Psychology, University of Trieste, Trieste, Italy
Journal of Vision December 2001, Vol.1, 327. doi:10.1167/1.3.327
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      Q. C. Vuong, F. Domini, C. Caudek; Temporal integration in structure from motion. Journal of Vision 2001;1(3):327. doi: 10.1167/1.3.327.

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Abstract

Past studies found that the perception of 3D structure from moving images only involves the analysis of the first-order optic flow. Accordingly, current structure-from-motion models map the properties of the instantaneous velocity field into 3D properties like orientation, depth, and motion. The present study shows that this purely instantaneous analysis of the optic flow cannot completely account for human 3D perception. Instead, we propose a model that combines the incoming information from the instantaneous velocity field with a preexisting representation of the 3D orientation of the derived surface at each instant of time. To test this model, we conducted three experiments in which observers compared the slant of two rotating surfaces specified by the motion of random-dots, and judged which surface was more rotated in depth. These surfaces had different past histories (Experiment 1), oscillated at different frequencies (Experiment 2), or had velocity fields that varied over time, e.g., decreasing over time (Experiment 3). The results show that this model is a better predictor of human performance than an instantaneous model, as revealed through simulations. This suggests that temporal integration is involved in the derivation of 3D structure from the dynamical properties of retinal images.

Vuong, Q.C., Domini, F., Caudek, C.(2001). Temporal integration in structure from motion [Abstract]. Journal of Vision, 1( 3): 327, 327a, http://journalofvision.org/1/3/327/, doi:10.1167/1.3.327. [CrossRef]
Footnotes
 Supported by National Science Foundation grant 78441.
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