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Selected Publications
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Problem
Solving
Graham, S.M., Joshi, A. & Pizlo, Z. (2000) The
traveling salesman problem: a hierarchical model. Memory
& Cognition 28, 1191-1204. Open access.
Pizlo, Z. & Li, Z. (2005) Solving combinatorial
problems: 15-puzzle. Memory & Cognition, 33,
1069-1084. Open access.
Pizlo, Z., Stefanov, E., Saalweachter, J., Li, Z.,
Haxhimusa, Y. & Kropatsch, W.G. (2006) Traveling
Salesman Problem: a Foveating Pyramid Model. Journal of
Problem Solving 1, 83-101. Open access.
Saalweachter, J. & Pizlo, Z. (2008) Non-Euclidean
Traveling Salesman Problem. In: T. Kugler, J.C. Smith,
Y-J. Sun, T. Connolly, Decision Modeling and Behavior in
Complex and Uncertain Environments. NY: Springer (pp.
339-358).
Haxhimusa, Y., Kropatsch, W.G., Pizlo, Z., & Ion, A.
(2009) Approximate graph pyramid solution of the E-TSP.
Journal of Image and Vision Computing 27, 887-896.
Chu, Y., Li, Z, Su, Y. & Pizlo, Z. (2010) Heuristics
in problem solving: the role of direction in controlling
the search space. Journal of Problem Solving 3, 27-51. Open access.
Haxhimusa, Y., Carpenter, E., Catrambone, J., Foldes,
D., Stefanov, E., Arns, L. & Pizlo, Z. (2011) 2D and
3D Traveling Salesman Problem. Journal of Problem Solving
3, 167-193. Open access.
Pizlo, Z. & Stefanov, E. (2013) Solving large
problems with a small working memory. Journal of Problem
Solving 6(1), 34-43. Open access.
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Shape Perception
Pizlo, Z. (1994). A theory of shape constancy based on
perspective invariants. Vision Research, 34, 1637-1658.
Pizlo, Z. & Stevenson, A. (1999). Shape constancy
from novel views. Perception & Psychophysics,61,
1299-1307. Open
access.
Pizlo, Z. (2001) Perception viewed as an inverse
problem. Minireview. Vision Research 41, 3145-3161. Open
access.
Pizlo, Z., Li, Y. & Francis, G. (2005) A new look at
binocular stereopsis. Vision Research, 45, 2244-2255. Open
access.
Chan, M.W., Stevenson, A.K., Li, Y. & Pizlo, Z.
(2006) Binocular shape constancy from novel views: the
role of a priori constraints. Perception &
Psychophysics, 68, 1124-1139. Open
access.
Hoffmann, C., Pizlo, Z., Popescu, V. & Rosen, P.
(2006) Study of the perception of 3D spatial relations for
a volumetric display. Journal of Electronic Imaging,
15(3), 33002.
Li, Y., Pizlo, Z. & Steinman, R.M. (2009) A
computational model that recovers the 3D shape of an
object from a single 2D retinal representation. Vision
Research 49, 979-991. Open
access.
Pizlo, Z., Sawada, T., Li, Y., Kropatsch, W.G. &
Steinman, R.M. (2010) New approach to the perception of 3D
shape based on veridicality, complexity, symmetry and
volume. Minireview. Vision Research 50, 1-11. Open
access.
Li, Y. & Pizlo, Z. (2011) Depth cues vs. simplicity
principle in 3D shape perception. Topics in Cognitive
Science 3, 667-685. Open
access.
Li, Y., Sawada, T., Shi, Y., Kwon, T. & Pizlo, Z.
(2011) A Bayesian model of binocular perception of 3D
mirror symmetric polyhedra. Journal of Vision, 11(4):11,
1-20. Open
access.
Li, Y., Sawada, T., Latecki, L.J., Steinman, R.M. &
Pizlo, Z. (2012) A tutorial explaining a machine vision
model that emulates human performance when it recovers
natural 3D scenes from 2D images. Journal of Mathematical
Psychology 56, 217-231.
Li, Y., Sawada, T., Shi, Y., Steinman, R.M. & Pizlo,
Z. (2013) Symmetry is the sine qua non of shape. In: S.
Dickinson & Z. Pizlo (Eds.), Shape perception in human
and computer vision, London, Springer. (pp.21-40).
Sawada, T., Li, Y. & Pizlo, Z. (2014) Shape
perception. Chapter 12. In: Busemeyer, J.R., Townsend,
J.T., Wang, Z.J. & Eidels, A. (Eds.), Oxford Handbook
of Computational and Mathematical Psychology (pp.
255-276).
Jayadevan, V., Michaux, A., Delp, E. & Pizlo, Z.
(2017) 3-D Shape Recovery From Real Images Using a
Symmetry Prior. Proceedings of Electronic Imaging
Conference, Computational Imagine, San Francisco (in
press).
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Symmetry
Sawada, T. & Pizlo, Z. (2008) Detection of skewed
symmetry. Journal of Vision 8(5), No. 14. Open
access.
Sawada, T. (2010). Visual detection of symmetry in 3D
shapes. Journal of Vision, 10(6), 4, 1?22. Open
access.
Sawada, T., Li, Y. & Pizlo, Z. (2011) Any pair of 2D
curves is consistent with a 3D symmetric interpretation.
Symmetry 3, 365-388. Open
access.
Sawada, T., Li, Y. & Pizlo, Z. (2014) Detecting 3-D
mirror symmetry in a 2-D camera image for 3-D shape
recovery. Proceedings of IEEE 102, 1588-1606.
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3D
scene perception
Kwon, T., Li, Y., Sawada, T. & Pizlo. Z. (2016)
Gestalt-like constraints produce veridical (Euclidean)
percepts of 3D indoor scenes. Vision Research 126,
264-277. Open
access.
Michaux, V., Jayadevan, V., Delp, E. & Pizlo, Z.
(2016) Figure-ground organization based on 3D symmetry.
Journal of Electronic Imaging 25(6). Open
access.
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Perceptual
Organization
Pizlo, Z., Salach-Golyska, M. & Rosenfeld, A.
(1997). Curve detection in a noisy image. Vision Research,
37, 1217-1241. Open
access.
Scheessele, M.W. & Pizlo, Z. (2007) Does contour
classification precede contour grouping in perception of
partially visible figures? Perception, 36, 558-580.
Troscianko, T., Benton, C.P., Lovell, P.G., Tolhurst,
D.J. & Pizlo, Z. (2009) Camouflage and visual
perception. Philosophical Transactions of the Royal
Society B 364, 449-461. Open access.
Sawada, T., Li, Y. & Pizlo, Z. (2016) Organizing a
2D image for 3D shape recovery. In: L. Maloney (Ed.),
Oxford handbook of computational perceptual organization.
Oxford University Press (accepted).
Kwon, T., Agrawal. K., Li, Y. & Pizlo, Z. (2016)
Spatially-global integration of closed, fragmented
contours by finding the shortest-path in a log-polar
representation. Vision Research 126, 143-163. Open
access.
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Speed-Accuracy
Tradeoff
Pizlo, Z., Rosenfeld, A. & Epelboim, J. (1995). An
exponential pyramid model of the time course of size
processing. Vision Research, 35, 1089-1107. Open access.
Shelton, J.N., Chiu, G.T.-C., and Pizlo, Z. (2007)
Exponentially Segmented Positioning of a Single Link
Mechanism: A Control Algorithm that Satisfies Fitts' Law.
In: Proceedings of the 2007 American Control Conference,
pp. 5983-5988, New York City, USA, July 11-13.
Kwon, O.-S., Zelaznik, H.N., Chiu, G. & Pizlo, Z.
(2011) Human Motor Transfer is Determined by the Scaling
of Size and Accuracy of Movement. Journal of Motor
Behavior 43, 15-26.
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