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Psychological Sciences Faculty

Zygmunt PizloZygmunt Pizlo

Professor, Mathematical and Computational Cognitive Science

Mailing Address:
Department of Psychological Sciences
Purdue University
703 Third Street
West Lafayette, IN 47907-2081 USA

Campus Address:
Peirce Hall, Room 194

E-mail: pizlo@psych.purdue.edu
Telephone: (765) 494-6930
Website: http://www1.psych.purdue.edu/~zpizlo
Blog: Symmetry Perception of 3D Objects


Degree: Ph.D (Electronics), Warsaw (Poland), 1982; Ph.D., (Psychology) Maryland, 1991

Research Interests:

My lab is studying cognitive mechanisms such as perception, navigation and problems solving and formulates computational models of these mechanisms.

Recent Publications:

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.

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.

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.

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.

Abdollahian, G., Taskiran, C. M., Pizlo, Z. & Delp, E.J. (2010) Camera Motion-Based Analysis of User Generated Video. IEEE Transactions on Multimedia, 12, 28 - 41.

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.

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.

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.

Li, Y. & Pizlo, Z. (2011). Depth cues vs. simplicity principle in 3D shape perception. Topics in Cognitive Science, 3, 667-685.

Li, Z., 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), 1-20.

Sawada, T., Li, Y. & Pizlo, Z. (2011). Any pair of 2D curves is consistent with a 3D symmetric interpretation. Symmetry, 3, 365-388.

Law, A. J., Aliaga, D. G., Sajadi, B., Majumder, A., & Pizlo, Z. (2011). Perceptually based appearance modification for compliant appearance editing. Computer Graphics Forum, 30, 2288-2300.

Sawada, T., Li Y. & Pizlo, Z. (2011). Symmetry, shape, surfaces, and objects. In C. W. Tyler (Ed.), Computer Vision: From Surfaces to 3D Objects (pp. 113-124). Boca Raton, FL: Chapman Hall/CRC.

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.

Fay, K., Breslin, G., Czyz, S.H. & Pizlo, Z. (2013) An especial skill in elite wheelchair basketball players. Human Movement Science 32, 708-718.

Czyz, S.H., Breslin G., Kwon, O., Mazur, M., Kobialka, K. & Pizlo, Z.(2013) Especial skill effect across age and performance level: the nature and degree of

         eneralization. Journal of Motor Behavior 45, 139-152.

Pizlo, Z. & Stefanov, E. (2013) Solving large problems with a small working memory. Journal of Problem Solving 6(1), 34-43.

Dickinson, S. & Pizlo, Z. (Eds.) (2013) Shape perception in human and computer vision. London: Springer.

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. (2013) Organizing a 2D image for 3D shape recovery. In: L. Maloney (Ed.), Oxford handbook of computational perceptual organization. Oxford University Press.