Jacqueline
M. Fulvio/Home/
Research
“All life is an experiment. The more
experiments you make, the better.”
~Ralph Waldo Emerson
1. The geometric determinants
of Good Continuation
Singh, M. & Fulvio, J.M.
(2005).
Visual extrapolation of contour geometry. Proceedings of the National Academy of
Sciences, 102(3), 939-944.
(Article
pdf) (Supporting information)
Singh, M., & Fulvio, J.M.
(2006).
Contour extrapolation using probabilistic cue combination. Computer Vision and Pattern Recognition,
Proceedings.
Singh, M. & Fulvio, J.M.
(2007).
Bayesian contour extrapolation: Geometric determinants of good continuation. Vision Research, 47, 783-798.
2. Internal
representations underlying visual interpolation
Fulvio,
J.M., Singh, M., & Maloney, L.T. (2006). Consistency
of location and gradient judgments of visually-interpolated contours. Computer Vision and Pattern
Recognition, Proceedings.
Fulvio,
J.M., Singh, M., & Maloney, L.T. (2006). Testing the relatability hypothesis: Inducer offset, not turning angle,
is critical for visual interpolation. Visual Cognition (Object Perception, Attention, and Memory (OPAM)
2006 Conference Report), 15(1),
83-87.
Fulvio,
J.M., Singh, M., & Maloney, L.T. (2008). Precision
and consistency of contour interpolation. Vision Research, 48, 831-849. (Article pdf)
Fulvio,
J.M., Singh, M., & Maloney, L.T. (2008). Internal consistency in the interpolation of partially-occluded
contours: Evidence against the isomorphism hypothesis. Journal of Vision, (under review).
3. Contour versus surface
geometry for illusory contours
Fulvio, J.M. & Singh, M. (2006). Surface geometry
influences the shape of illusory contours. Acta Psychologica, 123, 20-40.
4. Cue combination for
perceived transparency
Fulvio,
J.M., Singh, M., & Maloney, L.T. (2006). Combining
achromatic and chromatic cues to transparency. Journal of Vision, 6(8), 760-776.
updated: March
12, 2008